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BULK MATLAB IEEE TITLES 2015-16 PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl VILLUPURAM BRANCH Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support Sno. Topic Abstract Year 1. MATLAB2015_01 Machine Learning-Based Coding Unit Depth Decisions for Flexible Complexity Allocation in High Efficiency Video Coding In this paper, we propose a machine learning-based fast coding unit (CU) depth decision method for High EfficiencyVideo Coding (HEVC), which optimizes the complexity allocationat CU level with given rate- distortion (RD) cost constraints.First, we analyze quad- tree CU depth decision process in HEVC and model it as a three-level of hierarchical binary decisionproblem. Second, a flexible CU depth decision structureispresented, which allows the performances of each CU depthdecision be smoothly transferred between the coding complexityand RD performance. Then, a three-output joint classifierconsists of multiple binary classifiers with different parameters isdesigned to control the risk of false prediction. Finally, a sophisticated RD- complexity model is derived to determine the optimal parameters for the joint classifier, which is capable of minimizingthe complexity in each CU depth at given RD degradationconstraints. Comparative experiments over various sequencesshow that the proposed CU depth 2015

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Page 1: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

Sno. Topic Abstract Year 1. MATLAB2015_01 Machine Learning-Based

Coding Unit Depth

Decisions for Flexible

Complexity Allocation

in High Efficiency Video

Coding

In this paper, we propose a machine learning-based

fast coding unit (CU) depth decision method for High

EfficiencyVideo Coding (HEVC), which optimizes the

complexity allocationat CU level with given rate-

distortion (RD) cost constraints.First, we analyze quad-

tree CU depth decision process in HEVC

and model it as a three-level of hierarchical binary

decisionproblem. Second, a flexible CU depth decision

structureispresented, which allows the performances of

each CU depthdecision be smoothly transferred between

the coding complexityand RD performance. Then, a

three-output joint classifierconsists of multiple binary

classifiers with different parameters isdesigned to control

the risk of false prediction. Finally, a sophisticated RD-

complexity model is derived to determine the optimal

parameters for the joint classifier, which is capable of

minimizingthe complexity in each CU depth at given RD

degradationconstraints. Comparative experiments over

various sequencesshow that the proposed CU depth

2015

Page 2: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

decision algorithm canreduce the computational

complexity from 28.82% to 70.93%,and 51.45% on

average when compared with the original HEVCtest

model.

2. MATLAB2015_02 Distinguishing Local and

Global Edits for Their

Simultaneous Propagation

in a Uniform Framework

In propagating edits for image editing, some

editsareintended to affect limited local regions, while

others act

globally over the entire image. However, the ambiguity

problemin propagating edits is not adequately addressed

in existingmethods. Thus, tedious user inputrequirements

remain sincethe user must densely or repeatedly input

control samples tosuppress ambiguity. In this paper, we

address this challenge topropagate edits suitably by

marking edits for local or global

propagation and determining their reasonable propagation

scopesautomatically. Thus, our approach avoids

propagation conflicts,effectively resolving the ambiguity

problem. With the reduction ofambiguity, our method

allows fewer and less-precise control samples than

existing methods. Furthermore, we provide a uniform

framework to propagate local and global edits

simultaneously,helping the user to quickly obtain the

intended results withreduced labor. With our unified

framework, the potentiallyambiguous interaction between

local and global edits (evident

2015

Page 3: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

in existing methods that propagate these two edit types in

series)is resolved. We experimentally demonstrate the

effectiveness ofour method compared with existing

methods.

3. MATLAB2015_03 Face Recognition Across

Non-Uniform Motion

Blur, Illumination, and

Pose

Existing methods for performing face recognition

in the presence of blur are based on the convolution

model andcannot handle non-uniform blurring situations

that frequentlyarise from tilts and rotations in hand-held

cameras. In this paper,we propose a methodology for face

recognition in the presenceof space-varying motion blur

comprising of arbitrarily-shapedkernels. We model the

blurred face as a convex combination of

geometrically transformed instances of the focused

gallery face,and show that the set of all images obtained

by non-uniformlyblurring a given image forms a convex

set. We first propose a nonuniform blur-robust algorithm

by making use of the assumptionof a sparse camera

trajectory in the camera motion space tobuild an energy

function with l1-norm constraint on the camera

motion. The framework is then extended to handle

illuminationvariations by exploiting the fact that the set of

all images obtainedfrom a face image by non-uniform

blurring and changing theillumination forms a bi-convex

set. Finally, we propose an elegantextension to also

account for variations in pose.

2015

Page 4: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

4. MATLAB2015_04 Swarm Intelligence for

Detecting Interesting

Events

in Crowded Environments

This work focuses on detecting and localizing

anomalous events in videos of crowded scenes, i.e.

divergencesfrom a dominant pattern. Both motion and

appearance information are considered, so as to robustly

distinguish differentkinds of anomalies, for a wide range

of scenarios. A newlyintroduced concept based on swarm

theory, Histograms ofOriented Swarms (HOS), is applied

to capture the dynamicsof crowded environments. HOS,

together with the well knownHistograms of Oriented

Gradients (HOG), are combined tobuild a descriptor that

effectively characterizes each scene.These appearance

and motion features are only extracted within

spatiotemporal volumes of moving pixels to ensure

robustnessto local noise, increase accuracy in the

detection of local, nondominant anomalies, and achieve a

lower computational cost.Experiments on benchmark

datasets containing various situationswith human crowds,

as well as on traffic data, led to results that

surpassed the current state of the art, confirming the

method‘sefficacy and generality. Finally, the experiments

show that ourapproach achieves significantly higher

accuracy, especially forpixel-level event detection

compared to State of the Art (SoA)

methods, at a low computational cost.

2015

Page 5: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

5. MATLAB2015_05 Content-Based Image

Retrieval Using Features

Extracted From Halftoning-

Based Block

Truncation Coding

This paper presents a technique for Content-Based

Image Retrieval (CBIR) by exploiting the advantage of

lowcomplexity Ordered-Dither Block Truncation Coding

(ODBTC)for the generation of image content descriptor.

In encoding step,ODBTC compresses an image block into

correspondingquantizers and bitmap image. Two image

features are proposed toindex an image, namely Color

Co-occurrence Feature (CCF) andBit Pattern Features

(BPF), which are generated directly from

ODBTC encoded data streams without performing the

decodingprocess. The CCF and BPF of an image are

simply derived fromthe two ODBTC quantizers and

bitmap, respectively, by involvingthe visual codebook.

Experimental results show that the proposedmethod is

superior to the Block Truncation Coding (BTC) image

retrieval systems and the other former methods, and thus

provethat the ODBTC scheme is not only suited for

image compressionsince of its simplicity, but also offers a

simple and effectivedescriptor to index images in CBIR

2015

6. MATLAB2015_06 Approximation and

Compression with Sparse

Orthonormal Transforms

We propose a new transform design method that

targets the generation of compression-optimized

transforms fornext-generation multimedia applications.

The fundamental ideabehind transform compression is to

exploit regularity withinsignals such that redundancy is

minimized subject to a fidelitycost. Multimedia signals, in

particular images and video, are wellknown to contain a

2015

Page 6: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

diverse set of localized structures, leading tomany

different types of regularity and to nonstationary signal

statistics. The proposed method designs sparse

orthonormaltransforms (SOT) that automatically exploit

regularity over different signal structures and provides an

adaptation method thatdetermines the best representation

over localized regions. Unlikeearlier work that is

motivated by linear approximation constructsand model-

based designs that are limited to specific types of

signal regularity, our work uses general nonlinear

approximationideas and a data-driven setup to

significantly broaden its reach.We show that our SOT

designs provide a safe and principled

extension of the Karhunen-Loeve transform (KLT) by

reducingto the KLT on Gaussian processes and by

automatically exploitingnon-Gaussian statistics to

significantly improve over the KLT onmore general

processes. We provide an algebraic optimization

framework that generates optimized designs for any

desiredtransform structure (multi-resolution, block,

lapped, etc.) withsignificantly better n-term

approximation performance. For eachstructure, we

propose a new prototype codec and test over a

database of images. Simulation results show consistent

increasein compression and approximation performance

compared withconventional methods.

Page 7: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

7. MATLAB2015_07 High-Resolution Face

Verification Using

Pore-Scale Facial Features

Face recognition methods, which usually represent

face images using holistic or local facial features, rely

heavily onalignment. Their performances also suffer a

severe degradationunder variations in expressions or

poses, especially when thereis one gallery per subject

only. With the easy access to highresolution (HR) face

images nowadays, some HR face databases

have recently been developed. However, few studies have

tackledthe use of HR information for face recognition or

verification.In this paper, we propose a pose-invariant

face-verificationmethod, which is robust to alignment

errors, using the HRinformation based on pore-scale

facial features. A new keypointdescriptor, namely, pore-

Principal Component Analysis (PCA)-Scale Invariant

Feature Transform (PPCASIFT)—adapted from

PCA-SIFT—is devised for the extraction of a compact set

ofdistinctive pore-scale facial features. Having matched

the porescale features of two-face regions, an effective

robust-fittingscheme is proposed for the face-verification

task. Experimentsshow that, with one frontal-view gallery

only per subject, ourproposed method outperforms a

number of standard verification

methods, and can achieve excellent accuracy even the

faces areunder large variations in expression and pose.

2015

Page 8: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

8. MATLAB2015_08 DERF: Distinctive

Efficient Robust Features

From

the Biological Modeling of

the P Ganglion Cells

Studies in neuroscience and biological vision have

shown that the human retina has strong computational

power,and its information representation supports vision

tasks on bothventral and dorsal pathways. In this paper, a

new local imagedescriptor, termed distinctive efficient

robust features (DERF), isderived by modeling the

response and distribution propertiesof the parvocellular-

projecting ganglion cells in the primate

retina. DERF features exponential scale distribution,

exponentialgrid structure, and circularly symmetric

function difference ofGaussian (DoG) used as a

convolution kernel, all of which areconsistent with the

characteristics of the ganglion cell arrayfound in

neurophysiology, anatomy, and biophysics. In addition,

a new explanation for local descriptor design is presented

fromthe perspective of wavelet tight frames. DoG is

naturally awavelet, and the structure of the grid points

array in ourdescriptor is closely related to the spatial

sampling of wavelets.The DoG wavelet itself forms a

frame, and when we modulate theparameters of our

descriptor to make the frame tighter, theperformance of

the DERF descriptor improves accordingly. This

is verified by designing a tight frame DoG, which leads to

much better performance. Extensive experiments

conducted inthe image matching task on the multiview

2015

Page 9: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

stereo correspondencedata set demonstrate that DERF

outperforms state of the artmethods for both hand-crafted

and learned descriptors, whileremaining robust and being

much faster to compute.

9. MATLAB2015_09 Blind Inpainting using ℓ0

and Total Variation

Regularization

In this paper, we address the problem of image

reconstruction with missing pixels or corrupted with

impulsenoise, when the locations of the corrupted pixels

are notknown. A logarithmic transformation is applied to

convert themultiplication between the image and binary

mask into anadditive problem. The image and mask terms

are then estimatediteratively with total variation

regularization applied on theimage, and ℓ0 regularization

on the mask term which imposessparseness on the support

set of the missing pixels. The resulting

alternating minimization scheme simultaneously

estimates theimage and mask, in the same iterative

process. The logarithmictransformation also allows the

method to be extended to theRayleigh multiplicative and

Poisson observation models. Themethod can also be

extended to impulse noise removal by relaxing

the regularizer from the ℓ0 norm to the ℓ1 norm.

Experimentalresults show that the proposed method can

deal with a largerfraction of missing pixels than two

phase methods which firstestimate the mask and then

reconstruct the image.

2015

Page 10: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

10. MATLAB2015_10 A Source-Channel Coding

Approach to Digital

Image Protection and Self-

Recovery

Watermarking algorithms have been widely applied

to the field of image forensics recently. One of these very

forensicapplications is the protection of images against

tampering. Forthis purpose, we need to design a

watermarking algorithmfulfilling two purposes in case of

image tampering: 1) detectingthe tampered area of the

received image and 2) recovering the lostinformation in

the tampered zones. State-of-the-art techniques

accomplish these tasks using watermarks consisting

ofcheckbits and reference bits. Check bits are used for

tamperingdetection, whereas reference bits carry

information about thewhole image. The problem of

recovering the lost reference bitsstill stands. This paper is

aimed at showing that having thetampering location

known, image tampering can be modeled

and dealt with as an erasure error. Therefore, an

appropriatedesign of channel code can protect the

reference bits againsttampering. In the present proposed

method, the total watermarkbit-budget is dedicated to

three groups: 1) source encoderoutput bits; 2) channel

code parity bits; and 3) check bits.In watermark

embedding phase, the original image is sourcecoded and

the output bit stream is protected using appropriate

channel encoder. For image recovery, erasure locations

detectedby check bits help channel erasure decoder to

2015

Page 11: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

retrieve theoriginal source encoded image. Experimental

results show thatour proposed scheme significantly

outperforms recent techniquesin terms of image quality

for both watermarked and recovered

image. The watermarked image quality gain is achieved

throughspending less bit-budget on watermark, while

image recoveryquality is considerably improved as a

consequence of consistentperformance of designed source

and channel codes.

11. MATLAB2015_11 Structured Sparse Priors for

Image Classification

Model-based compressive sensing (CS) exploits the

structure inherent in sparse signals for the design of better

signal recovery algorithms. This information about

structure isoften captured in the form of a prior on the

sparse coefficients,with the Laplacian being the most

common such choice (leadingto l1-norm minimization).

Recent work has exploited thediscriminative capability of

sparse representations for imageclassification by

employing class-specific dictionaries in theCS

framework. Our contribution is a logical extension of

theseideas into structured sparsity for classification. We

introducethe notion of discriminative class-specific priors

in conjunctionwith class specific dictionaries, specifically

the spike-and-slabprior widely applied in Bayesian sparse

regression. Significantly,the proposed framework takes

the burden off the demand forabundant training image

2015

Page 12: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

samples necessary for the successof sparsity-based

classification schemes. We demonstrate thispractical

benefit of our approach in important applications,

such as face recognition and object categorization.

12. MATLAB2015_12 Video Tracking Using

Learned Hierarchical

Features

In this paper, we propose an approach to learn

hierarchical features for visual object tracking. First, we

offlinelearn features robust to diverse motion patterns

from auxiliaryvideo sequences. The hierarchical features

are learned via a twolayer convolutional neural network.

Embedding the temporalslowness constraint in the

stacked architecture makes the learned

features robust to complicated motion transformations,

whichis important for visual object tracking. Then, given

a targetvideo sequence, we propose a domain adaptation

module toonline adapt the pre-learned features according

to the specifictarget object. The adaptation is conducted

in both layers ofthe deep feature learning module so as to

include appearanceinformation of the specific target

object. As a result, the learnedhierarchical features can be

robust to both complicated motiontransformations and

appearance changes of target objects. We

integrate our feature learning algorithm into three

tracking

methods. Experimental results demonstrate that

significant improvement can be achieved by using

2015

Page 13: BULK IEEE PROJECTS 2015-16,BULK PROJECTS LIST 2015-16,BULK FINAL YEAR PROJECT LIST 2015-16,Bulk matlab project titles 2015 16

BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

ourlearned hierarchicalfeatures, especially on video

sequences with complicated motiontransformations.

13. MATLAB2015_13 A Global/Local Affinity

Graph for Image

Segmentation

Construction of a reliable graph capturing perceptual

grouping cues of an image is fundamental for

graph-cut based image segmentation methods. In this

paper, we propose a novel sparse global/local affinity

graph over superpixels of an input image to capture both

short and long range grouping cues, thereby

enabling perceptual grouping laws, e.g., proximity,

similarity, continuity, to enter in action through a

suitable graph cut algorithm. Moreover, we also evaluate

three major visual features, namely color, texture

and shape,for their effectiveness in perceptual

segmentation and propose a simple graph fusion scheme

to implement some recent findings from psychophysics

which suggest combining these visual features

with different emphases for perceptual grouping.

Specifically, an input image is first oversegmented into

superpixels at different scales. We postulate a gravitation

law based on empirical observations and divide

superpixels adaptively into small, medium and large sized

sets. Global grouping is achieved using medium

sized superpixels through a sparse representation of

superpixels‘ features by solving a `0-minimization

problem, thereby enabling continuity or propagation of

2015

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BULK MATLAB IEEE TITLES 2015-16

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local smoothness over long range connections.

Small and large sized superpixels are then used to achieve

local smoothness through an adjacent graph

in a given feature space, thus implementing perceptual

laws, e.g., similarity and proximity. Finally, a

bipartite graph is also introduced to enable propagation of

grouping cues between superpixels of different

scales. Extensive experiments are carried out on the

Berkeley Segmentation Database in comparison with

several state of the art graph constructions.

14. MATLAB2015_14 A Database for Evaluating

No-Reference

Image Quality Assessment

Algorithms

This paper presents a new database, CID2013,

to address the issue of using no-reference (NR) image

qualityassessment algorithms on images with multiple

distortions.Current NR algorithms struggle to handle

images with manyconcurrent distortion types, such as real

photographic imagescaptured by different digital cameras.

The database consistsof six image sets; on average, 30

subjects have evaluated12–14 devices depicting eight

different scenes for a total of79 different cameras, 480

images, and 188 subjects (67% female).

The subjective evaluation method was a hybrid absolute

categoryrating-pair comparison developed for the study

and presentedin this paper. This method utilizes a

slideshow of all imageswithin a scene to allow the test

images to work as references toeach other. In addition to

mean opinion score value, the imagesare also rated using

2015

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sharpness, graininess, lightness, and colorsaturation

scales. The CID2013 database contains images used

in the experiments with the full subjective data plus

extensivebackground information from the subjects. The

database is madefreely available for the research

community.

15. MATLAB2015_15 An Efficient MRF

Embedded Level Set

Method for

Image Segmentation

This paper presents a fast and robust level set

method for image segmentation. To enhance the

robustnessagainst noise, we embed a Markov random

field (MRF) energyfunction to the conventional level set

energy function. This MRFenergy function builds the

correlation of a pixel with its neighborsand encourages

them to fall into the same region. To obtain

a fast implementation of the MRF embedded level set

model,we explore algebraic multigrid (AMG) and sparse

fieldmethod(SFM) to increase the time step and decrease

thecomputationdomain, respectively. Both AMG and

SFM can be conducted ina parallel fashion, which

facilitates the processing of our methodfor big image

databases. By comparing the proposed fast and

robust level set method with the standard level set method

andits popular variants on noisy synthetic images,

synthetic apertureradar (SAR) images, medical images

and natural images, wecomprehensively demonstrate the

new method is robust againstvarious kinds of noises.

2015

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Especially, the new level set method cansegment an

image of size 500 by 500 within three seconds on

MATLAB R2010b installed in a computer with 3.30GHz

CPUand 4GB memory.

16. MATLAB2015_16 Weighted Guided Image

Filtering

It is known that local filtering-based edgepreserving

smoothing techniques suffer from halo artifacts.

In this paper, a weighted guided image filter (WGIF) is

introduced by incorporating an edge-aware weighting into

an existingguided image filter (GIF) to address the

problem. The WGIFinherits advantages of both global

and local smoothing filters inthe sense that: 1) the

complexity of the WGIF is O(N) for animage with N

pixels, which is same as the GIF and 2) the WGIF

can avoid halo artifacts like the existing global smoothing

filters.The WGIF is applied for single image detail

enhancement, singleimage haze removal, and fusion of

differently exposed images.Experimental results show

that the resultant algorithms produceimages with better

visual quality and at the same time haloartifacts can be

reduced/avoided from appearing in the finalimages with

negligible increment on running times.

2015

17. MATLAB2015_17 Distinctive Efficient

Robust Features From

the Biological Modeling of

Studies in neuroscience and biological vision have

shown that the human retina has strong computational

power,and its information representation supports vision

2015

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the P Ganglion Cells tasks on bothventral and dorsal pathways. In this paper, a

new local imagedescriptor, termed distinctive efficient

robust features (DERF), isderived by modeling the

response and distribution propertiesof the parvocellular-

projecting ganglion cells in the primateretina. DERF

features exponential scale distribution, exponentialgrid

structure, and circularly symmetric function difference of

Gaussian (DoG) used as a convolution kernel, all of

which areconsistent with the characteristics of the

ganglion cell arrayfound in neurophysiology, anatomy,

and biophysics. In addition,a new explanation for local

descriptor design is presented fromthe perspective of

wavelet tight frames. DoG is naturally a

wavelet, and the structure of the grid points array in our

descriptor is closely related to the spatial sampling of

wavelets.The DoG wavelet itself forms a frame, and when

we modulate theparameters of our descriptor to make the

frame tighter, theperformance of the DERF descriptor

improves accordingly. Thisis verified by designing a tight

frame DoG, which leads tomuch better performance.

Extensive experiments conducted inthe image matching

task on the multiview stereo correspondencedata set

demonstrate that DERF outperforms state of the

artmethods for both hand-crafted and learned descriptors,

whileremaining robust and being much faster to compute.

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18. MATLAB2015_18 Multi-task Pose-Invariant

Face Recognition

Face images captured in unconstrainedenvironments

usually contain significant pose

variation,whichdramatically degrades the performance of

algorithmsdesigned to recognize frontal faces. This paper

proposes a novelface identification framework capable of

handling the full rangeof pose variations within ±90° of

yaw. The proposed frameworkfirst transforms the original

pose-invariant face recognitionproblem into a partial

frontal face recognition problem. A robustpatch-based

facerepresentation scheme is then developed torepresent

the synthesized partial frontal faces. For each patch,

a transformation dictionary is learnt under the proposed

multitask learning scheme. The transformation dictionary

transformsthe features of different poses into a

discriminative subspace.Finally, face matching is

performed at patch level rather thanat the holistic level.

Extensive and systematic experimentationon FERET,

CMU-PIE, and Multi-PIE databases shows thatthe

proposed method consistently outperforms single-task-

basedbaselines as well as state-of-the-art methods for the

poseproblem. We further extend the proposed algorithm

for theunconstrained face verification problem and

achieve top-levelperformance on the challenging LFW

data set.

2015

19. MATLAB2015_19 A Feature-Enriched Existing blind image quality assessment (BIQA) 2015

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Completely Blind Image

Quality Evaluator

methods are mostly opinion-aware. They learn regression

modelsfrom training images with associated human

subjective scorestopredict the perceptual quality of test

images. Such opinion-awaremethods, however, require a

large amount of training sampleswith associated human

subjective scores and of a variety ofdistortion types. The

BIQA models learned by opinion-awaremethods often

have weak generalization capability, hereby limiting their

usability in practice. By comparison, opinion-

unawaremethods do not need human subjective scores for

training, andthus have greater potential for good

generalization capability.Unfortunately, thus far no

opinion-unaware BIQA method hasshown consistently

better quality prediction accuracy than theopinion-aware

methods. Here, we aim to develop an opinionunaware

BIQA method that can compete with, and

perhapsoutperform, the existing opinion-aware methods.

By integratingthe features of natural image statistics

derived from multiplecues, we learn a multivariate

Gaussian model of image patchesfrom a collection of

pristine natural images. Using the learnedmultivariate

Gaussian model, a Bhattacharyya-like distance isused to

measure the quality of each image patch, and thenan

overall quality score is obtained by average pooling.

Theproposed BIQA method does not need any distorted

sampleimages nor subjective quality scores for training,

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yet extensiveexperiments demonstrate its superior

quality-prediction performance to the state-of-the-art

opinion-aware BIQA methods.

20. MATLAB2015_20 Spatiotemporal Saliency

Detection for Video

Sequences Based on

Random Walk With Restart

A novel saliency detection algorithm for video

sequences based on the random walk with restart (RWR)

isproposed in this paper. We adopt RWR to detect

spatiallyand temporally salient regions. More specifically,

we first finda temporal saliency distribution using the

features of motiondistinctiveness, temporal consistency,

and abrupt change. Amongthem, the motion

distinctiveness is derived by comparing themotion

profiles of image patches. Then, we employ the temporal

saliency distribution as a restarting distribution of the

randomwalker. In addition, we design the transition

probability matrixfor the walker using the spatial features

of intensity, color, andcompactness. Finally, we estimate

the spatiotemporal saliencydistribution by finding the

steady-state distribution of the walker.

The proposed algorithm detects foreground salient objects

faithfully, while suppressing cluttered backgrounds

effectively,by incorporating the spatial transition matrix

and the temporalrestarting distribution systematically.

Experimental resultson various video sequences

demonstrate that the proposedalgorithm outperforms

conventional saliency detection algorithmsqualitatively

2015

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and quantitatively.

21. MATLAB2015_21 Sorted Consecutive Local

Binary Pattern

for Texture Classification

In this paper, we propose a sorted consecutive local

binary pattern (scLBP) for texture classification.

Conventionalmethods encode only patterns whose spatial

transitions are notmore than two, whereas scLBP encodes

patterns regardless oftheir spatial transition. Conventional

methods do not encode

patterns on account of rotation-invariant encoding; on the

otherhand, patterns with more than two spatial transitions

havediscriminative power. The proposed scLBP encodes

all patternswith any number of spatial transitions while

maintaining theirrotation-invariant nature by sorting the

consecutive patterns.In addition, we introduce dictionary

learning of scLBP basedon kd-tree which separates data

with a space partitioningstrategy. Since the elements of

sorted consecutive patterns liein different space, it can be

generated to a discriminative codewith kd-tree. Finally,

we present a framework in which scLBPs

and the kd-tree can be combined and utilized. The results

of experimental evaluation on five texture data sets—

Outex,CUReT, UIUC, UMD, and KTH-TIPS2-a—

indicate that ourproposed framework achieves the best

classification rate onthe CUReT, UMD, and KTH-TIPS2-

a data sets compared withconventional methods. The

results additionally indicate that onlya marginal

2015

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difference exists between the best classification rate

of conventional methods and that of the proposed

frameworkon the UIUC and Outex data sets.

22. MATLAB2015_22 Robust 2D Principal

Component Analysis:

A Structured Sparsity

Regularized Approach

Principal component analysis (PCA) is widely

used to extract features and reduce dimensionality in

variouscomputer vision and image/video processing tasks.

Conventionalapproaches either lack robustness to outliers

and corrupted dataor are designed for one-dimensional

signals. To address thisproblem, we propose a robust

PCA model for two-dimensional

images incorporating structured sparse priors, referred to

as structured sparse 2D-PCA. This robust model

considersthe prior of structured and grouped pixel values

in twodimensions. As the proposed formulation is jointly

nonconvexand nonsmooth, which is difficult to tackle by

joint optimization,we develop a two-stage alternating

minimization approachto solve the problem. This

approach iteratively learns theprojection matrices by

bidirectional decomposition and utilizesthe proximal

method to obtain the structured sparse outliers.

By considering the structured sparsity prior, the proposed

model becomes less sensitive to noisy data and outliers in

twodimensions. Moreover, the computational cost

indicates that therobust two-dimensional model is capable

of processing quartercommon intermediate format video

2015

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in real time, as well as

handling large-size images and videos, which is often

intractablewith other robust PCA approaches that involve

image-to-vectorconversion. Experimental results on

robust face reconstruction,video background subtraction

data set, and real-world videos

show the effectiveness of the proposed model compared

withconventional 2D-PCA and other robust PCA

algorithms.

23. MATLAB2015_23 Accurate Vessel

Segmentation With

Constrained B-Snake

We describean active contour framework with

accurate shape and size constraints on the vessel cross-

sectionalplanes to produce the vessel segmentation. It

startswith a multiscale vessel axis tracing in a 3D

computedtomography (CT) data, followed by vessel

boundary delineationon the cross-sectional planes derived

from the extracted axis.The vessel boundary surface is

deformed under constrainedmovements on the cross

sections and is voxelized to producethe final vascular

segmentation. The novelty of this paper lies

in the accurate contour point detection of thin vessels

basedon the CT scanning model, in the efficient

implementation ofmissing contour points in the

problematic regions and in theactive contour model with

accurate shape and size constraints.The main advantage

of our framework is that it avoidsdisconnected and

2015

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incomplete segmentation of the vessels in theproblematic

regions that contain touching vessels (vessels in close

proximity to each other), diseased portions (pathologic

structureattached to a vessel), and thin vessels. It is

particularly suitablefor accurate segmentation of thin and

low contrast vessels. Ourmethod is evaluated and

demonstrated on CT data sets fromour partner site, and its

results are compared with three related

methods. Our method is also tested on two publicly

availabledatabases and its results are compared with the

recentlypublished method. The applicability of the

proposed methodto some challenging clinical problems,

the segmentation of thevessels in the problematic regions,

is demonstrated with goodresults on both quantitative and

qualitative experimentations;our segmentation algorithm

can delineate vessel boundaries thathave level of

variability similar to those obtained manually.

24. MATLAB2015_24 PatchMatch With Potts

Model for Object

Segmentation and Stereo

Matching

This paper presents a unified variationalformulation for

joint object segmentation and stereo matching,which

takes both accuracy and efficiency into account. In

ourapproach, depth-map consists of compact objects, each

object isrepresented through three different aspects: 1) the

perimeter inimage space; 2) the slanted object depth

plane; and 3) the planarbias, which is to add an additional

level of detail on top of eachobject plane in order to

2015

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model depth variations within an object.Compared with

traditional high quality solving methods in lowlevel, we

use a convex formulation of the multilabel Potts Model

with PatchMatch stereo techniques to generate depth-map

ateach image in object level and show that accurate

multiple viewreconstruction can be achieved with our

formulation by meansof induced homography without

discretization or staircasingartifacts. Our model

isformulated as an energy minimizationthat is optimized

via a fast primal-dual algorithm, whichcan handle several

hundred object depth segments efficiently.Performance

evaluations in the Middlebury benchmark data sets

show that our method outperforms the traditional integer-

valueddisparity strategy as well as the original

PatchMatch algorithmand its variants in subpixel accurate

disparity estimation.The proposed algorithm is also

evaluated and shown to produceconsistently good results

for various real-world data sets(KITTI benchmarkdata

sets and multiview benchmark

data sets).

25. MATLAB2015_25 Robust Representation and

Recognition of

Facial Emotions Using

Extreme Sparse

Learning

Recognition of natural emotions from human faces is an

interesting topic with a wide range of potential

applications like human-computer interaction, automated

tutoring systems, image and video retrieval, smart

environments,and driver warning systems. Traditionally,

2015

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facial emotion recognition systems have been evaluated

on laboratorycontrolled data, which is not representative

of the environment faced in real-world applications. To

robustly recognizefacial emotions in real-world natural

situations, this paper proposes an approach calledExtreme

Sparse Learning(ESL), which has the ability to jointly

learn a dictionary (set of basis) and a non-linear

classification model. Theproposed approach combines the

discriminative power of Extreme Learning Machine

(ELM) with the reconstructionproperty of sparse

representation to enable accurate classification when

presented with noisy signals and imperfect data

recorded in natural settings. Additionally, this work

presents a new local spatio-temporal descriptor that is

distinctiveand pose-invariant. The proposed framework is

able to achieve state-of-the-art recognition accuracy on

both actedand spontaneous facial emotion databases.

26. MATLAB2015_26 Adaptive Image Denoising

by Targeted Databases

We propose a data-dependent denoising procedure

to restore noisy images. Different from existing denoising

algorithms which search for patches from either the noisy

imageor a generic database, the new algorithm finds

patches froma database that contains relevant patches. We

formulate thedenoising problem as an optimal filter

2015

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design problem and maketwo contributions. First, we

determine the basis function ofthe denoising filter by

solving a group sparsity minimizationproblem. The

optimization formulation generalizes existingdenoising

algorithms and offers systematic analysis of the

performance. Improvement methods are proposed

toenhance the patchsearch process. Second, we determine

the spectral coefficients ofthe denoising filter by

considering a localized Bayesian prior. The

localized prior leverages the similarity of the targeted

database,alleviates the intensive Bayesian computation,

and links the newmethod to the classical linear minimum

mean squared errorestimation. We demonstrate

applications of the proposed methodin a variety of

scenarios, including text images, multiview images,

and face images. Experimental results show the

superiority of thenew algorithm over existing methods.

27. MATLAB2015_27 Progressive Halftone

Watermarking Using

Multi-layer Table Lookup

Strategy

In this work, a halftoning-based multi-layer watermarking

of low computational complexity is proposed. An

additional data hiding technique is also employed to

embed multiple watermarks into the watermark to be

embedded to improve the security and embedding

capacity. At the encoder, the Efficient Direct Binary

Search (EDBS) method is employed to generate 256

reference tables to ensure the output is in halftone format.

2015

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Subsequently, watermarks are embedded by a set of

optimized compressed tables with various textural angles

for table lookup. At the decoder, the Least-MeanSquare

(LMS) metric is considered to increases the differences

among those generated phenotypes.

28. MATLAB2015_28 Learning Multiple Linear

Mappings for Efficient

Single Image Super-

Resolution

Example learning-based superresolution (SR)

algorithms show promise for restoring a high-resolution

(HR)image from a single low-resolution (LR) input. The

most popularapproaches, however, are either time- or

space-intensive, whichlimits their practical applications in

many resource-limitedsettings. In this paper, we propose

a novel computationallyefficient single image SR method

that learns multiple linear

mappings (MLM) to directly transform LR feature

subspacesinto HR subspaces. In particular, we first

partition the largenonlinear feature space of LR images

into a cluster of linearsubspaces. Multiple LR

subdictionaries are then learned, followedby inferring the

corresponding HR subdictionaries based on the

assumption that the LR–HR features share the same

representation coefficients. We establish MLM from the

input LR featuresto the desired HR outputs in order to

achieve fast yet stable SRrecovery. Furthermore, in

orderto suppress displeasing artifactsgenerated by the

MLM-based method, we apply a fast nonlocalmeans

2015

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algorithm to construct a simple yet effective

similaritybased regularization term for SR enhancement.

Experimentalresults indicate that our approach is both

quantitatively andqualitatively superior to other

application-oriented SR methods,while maintaining

relatively low time and space complexity.

29. MATLAB2015_29 Cross-Domain Person Re-

Identification Using

Domain Adaptation

Ranking SVMs

This paper addresses a new person re-identification

problem without label information of persons under

nonoverlapping target cameras. Given the matched

(positive) andunmatched (negative) image pairs from

source domain cameras,as well as unmatched (negative)

and unlabeled image pairs fromtarget domain cameras,

we propose an Adaptive Ranking Support Vector

Machines (AdaRSVM) method for re-identificationunder

target domain cameras without person labels. To

overcome

the problems introduced due to the absence of matched

(positive)image pairs in the target domain, we relax the

discriminativeconstraint to a necessary condition only

relying on the positivemean in the target domain. To

estimate the target positivemean, we make use of all the

available data from source andtarget domains as well as

constraints in person re-identification.Inspired by

adaptive learning methods, a new discriminative

model with high confidence in target positive mean and

2015

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lowconfidence in target negative image pairs is developed

by refiningthe distance model learnt from the source

domain. Experimentalresults show that the proposed

AdaRSVM outperforms existing supervised or

unsupervised, learning or non-learning reidentification

methods without using label information in target

cameras. Moreover, our method achieves better re-

identificationperformance than existing domain

adaptation methods derivedunder equal conditional

probability assumption.

30. MATLAB2015_30 Structure-Sensitive

Saliency Detection

via Multilevel Rank

Analysis in

Intrinsic Feature Space

This paper advocates a novel multiscale,

structure-sensitive saliency detection method, which can

distinguish multilevel, reliable saliency from various

naturalpictures in a robust and versatile way. One key

challengefor saliency detection is to guarantee the entire

salient objectbeing characterized differently from

nonsalient background.To tackle this, our strategy is to

design a structure-awaredescriptor based on the intrinsic

biharmonic distance metric.One benefit of introducing

this descriptor is its ability tosimultaneously integrate

local and global structure information,which is extremely

valuable for separating the salient objectfrom nonsalient

background in a multiscale sense. Upon devisingsuch

powerful shape descriptor, the remaining challenge is

to capture the saliency to make sure that salient subparts

2015

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actually stand out among all possible candidates. Toward

thisgoal, we conduct multilevel low-rank and sparse

analysis inthe intrinsic feature space spanned by the shape

descriptorsdefined on over-segmented super-pixels. Since

the low-rankproperty emphasizes much more on stronger

similarities amongsuper-pixels, we naturally obtain a

scale space along the rank

dimension in this way. Multiscale saliency can be

obtained bysimply computing differences among the low-

rank componentsacross the rank scale. We conduct

extensive experiments onsome public benchmarks, and

make comprehensive, quantitativeevaluation between our

method and existing state-of-the-arttechniques. All the

results demonstrate the superiority of ourmethod in

accuracy, reliability, robustness, and versatility.

31. MATLAB2015_31 Depth Reconstruction From

Sparse Samples:

Representation, Algorithm,

and Sampling

The rapid development of 3D technology and

computer vision applications has motivated a thrust of

methodologies for depth acquisition and estimation.

However,existing hardware and software acquisition

methods havelimited performance due to poor depth

precision, low resolution,and high computational cost. In

this paper, we present acomputationally efficient method

to estimate dense depth mapsfrom sparse measurements.

There are three main contributions.First, we provide

empirical evidence that depth maps can beencoded much

2015

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more sparsely than natural images using common

dictionaries, such as wavelets and contourlets. We also

showthat a combined wavelet–contourlet dictionary

achieves betterperformance than using either dictionary

alone. Second, wepropose an alternating direction method

of multipliers (ADMM)for depth map reconstruction. A

multiscale warm start procedure

is proposed to speed up the convergence. Third, we

proposea two-stage randomized sampling scheme to

optimally choosethe sampling locations, thus maximizing

the reconstructionperformance for a given sampling

budget. Experimentalresults show that the proposed

method produces high-qualitydense depth estimates, and

is robust to noisy measurements.Applications to real data

in stereo matching are demonstrated.

32. MATLAB2015_32 Image Denoising by

Exploring External

and Internal Correlations

Single image denoising suffers from limited data

collection within a noisy image. In this paper, we propose

anovel image denoising scheme, which explores both

internaland external correlations with the help of web

images. Foreach noisy patch, we build internal and

external data cubesby finding similar patches from the

noisy and web images,respectively. We then propose

reducing noise by a two-stagestrategy using different

filtering approaches. In the first stage,since the noisy

patch may lead to inaccurate patch selection, we

2015

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propose a graph based optimization method to improve

patchmatching accuracy in external denoising. The

internal denoisingis frequency truncation on internal

cubes. By combining theinternal and external denoising

patches, we obtain a preliminarydenoising result. In the

second stage, we propose reducing noiseby filtering of

external and internal cubes, respectively, ontransform

domain. In this stage, the preliminary denoising result

not only enhances the patch matching accuracy but also

providesreliable estimates of filtering parameters. The

final denoisingimage is obtained by fusing the external

and internal filteringresults. Experimental results show

that our method constantlyoutperforms state-of-the-art

denoising schemes in both subjectiveand objective quality

measurements, e.g., it achieves >2 dB gain

compared with BM3D at a wide range of noise levels.

33. MATLAB2015_33 Motion-Compensated

Coding and Frame Rate

Up-Conversion: Models

and Analysis

Block-based motion estimation (ME) and motion

compensation (MC) techniques are widely used in

modernvideo processing algorithms and compression

systems. The greatvariety of video applications and

devices results in diversecompression specifications, such

as frame rates and bit rates.

In this paper, we study the effect of frame rate and

compressionbit rate on block-based ME and MC as

commonly utilized ininter-frame coding and frame rate

2015

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up-conversion (FRUC). Thisjoint examination yields a

theoretical foundation for comparingMC procedures in

coding and FRUC. First, the video signal islocally

modeled as a noisy translational motion of an image.

Then, we theoretically model the motion-compensated

predictionof available and absent frames as in coding and

FRUCapplications, respectively. The theoretic MC-

prediction erroris studied further and its autocorrelation

function is calculated, yielding useful separable-

simplifications for the codingapplication. We argue that a

linear relation exists betweenthe variance of the MC-

prediction error and temporaldistance. While the relevant

distance in MC coding is betweenthe predicted and

reference frames, MC-FRUC is affected bythe distance

between the frames available for interpolation.We

compare our estimates with experimental results

andshowthat the theory explains qualitatively the

empirical behavior.Then, we use the models proposed to

analyze a system forimproving of video coding at low bit

rates, using a spatiotemporal scaling. Although this

concept is practically employed invarious forms, so far it

lacked a theoretical justification. We hereharness the

proposed MC models and present a

comprehensiveanalysis of the system, to qualitatively

predict the experimental

results.

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34. MATLAB2015_34 Fractal Analysis for

Reduced Reference

Image Quality Assessment

In this paper, multifractal analysis is adapted to

reduced-reference image quality assessment (RR-IQA). A

novelRR-QA approach is proposed, which measures the

differenceof spatial arrangement between the reference

image and thedistorted image in terms of spatial

regularity measured by fractaldimension. An image is

first expressed in Log-Gabor domain.Then, fractal

dimensions are computed on each Log-Gaborsubband and

concatenated as a feature vector. Finally, the

extracted features are pooled as the quality score of the

distortedimage using 1 distance. Compared with existing

approaches, theproposed method measures image quality

from the perspectiveof the spatial distribution of image

patterns. The proposedmethod was evaluated on seven

public benchmark data sets.Experimental results have

demonstrated the excellentperformance of the proposed

method in comparison withstate-of-the-art approaches.

2015

35. MATLAB2015_35 Criteria-Based Modulation

for Multilevel Inverters

Pulse-width modulation schemes are aimed at adjusting

the fundamental component while reducing the harmonic

content of an inverter output voltage or current. This

paperaddresses the topic of optimal inverter operation in

reference toa given objective function. The objective

function could embodyeither a single performance

criterion, such as voltage or currenttotal harmonic

2015

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distortion, or a weighted sum of multiple criteria.

The proposed method ensures primacy of the chosen

solutionwhile imposing no restriction over its modulation

index. Inparticular, operating the inverter by the chosen

solution wouldresult in performances superior to any

other modulation schemecommutating in an equal number

of switching angles per fundamental cycle. The proposed

method allows for the consideration

of practical inverter constraints and prevents the

possibility ofimpractical switching sequence. A detailed

investigation of themethod is given, accompanied by two

practical cases minimizing,respectively, phase-voltage

THD and line-current THD of a threelevel inverter.

Selected simulation and experimental results are

presented to validate the theoretical part.

36. MATLAB2015_36 A Fully Soft-Switched

Single Switch Isolated

DC-DC Converter

This paper proposes a soft-switched single switch

isolated converter. The proposed converter is able to offer

lowcost and high power density in step up application due

to thefollowing features: ZCS turn-on and ZVS turn-off

of switch andZCS turn-off of diodes regardless of voltage

and load variation;low rated lossless snubber; reduced

transformer volumecompared to flyback based converters

due to low magnetizingcurrent. Experimental results on a

100kHz, 250W prototype areprovided to validate the

proposed concept.

2015

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37. MATLAB2015_37 Functional Modeling of

Symmetrical Multipulse

Autotransformer Rectifier

Units

for Aerospace Applications

This paper aims to develop a functional model of

symmetrical multipulse autotransformer rectifier units

(ATRUs) formore-electric aircraft (MEA) applications.

The ATRU is seen asthe most reliable way readily to be

applied in the MEA. Interestingly, there is no model

ofATRUs suitable for unbalanced or faulty

conditions at the moment. This paper is aimed to fill this

gap anddevelop functional models suitable for both

balanced and unbalanced conditions. Using the fact that

the dc voltage and currentare strongly related to the

voltage and current vectors at the acterminals of ATRUs,

a functional model has been developed for theasymmetric

ATRUs. The developed functional models are

validatedthrough simulation and experiment. The

efficiency of the developedmodel is also demonstrated by

comparing with corresponding detailed switching models.

The developed functional model showssignificant

improvement of simulation efficiency, especially

underbalanced conditions.

2015

38. MATLAB2015_38 Model Predictive Control

Methods to Reduce

Common-Mode Voltage

for Three-Phase Voltage

Source Inverters

In this paper, we propose model predictive control

methods to reduce the common-mode voltage of three-

phase voltagesource inverters (VSIs). In the reduced

common-mode voltage-model predictive control (RCMV-

MPC) methods proposed in this paper,only nonzero

2015

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voltage vectors are utilized to reduce the common-mode

voltage as well as to control the load currents. In addition,

twononzero voltage vectors are selected from the cost

function at every sampling period, instead of using only

one optimal vector during onesampling period. The two

selected nonzero vectors are distributed in one sampling

period in such a way as to minimize the error between

the measured load current and the reference. Without

utilizing the zero vectors, the common-mode voltage

controlled by the proposedRCMV-MPC algorithms can

be restricted within ±Vdc/6. Furthermore, application of

the two nonzero vectors with optimal time sharing

between them can yield satisfactory load current ripple

performance without using the zero vectors. Thus, the

proposed RCMV-MPCmethods can reduce the common-

mode voltage as well as control the load currents with fast

transient response and satisfactory loadcurrent ripple

performance compared with the conventional model

predictive control method. Simulation and experimental

results areincluded to verify the effectiveness of the

proposed RCMV-MPC methods.

39. MATLAB2015_39 Interleaved Phase-Shift

Full-Bridge Converter With

Transformer Winding

Series–Parallel

The analysis and design guidelines for a two-phase

interleaved phase-shift full-bridge converter with

transformer winding series–parallel autoregulated current

doubler rectifier are presented in this paper. The

2015

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Autoregulated

(SPAR) Current Doubler

Rectifier

secondary windings of two transformers

work in parallel when the equivalent duty cycle is smaller

than 0.25but in series when the duty cycle is larger than

0.25 owing to theseries–parallel autoregulated rectifier.

With the proposed rectifying structure, the voltage stress

of the rectifier is reduced. Also, theinterleaving operation

reduces the output current ripple. A 1-kWprototype with

200–400-V input and 50-V/20-A output is built up

to verify the theoretical analysis.

40. MATLAB2015_40 Analysis of Active-

Network Converter with

Coupled

Inductors

High step-up voltage gain DC/DC converters are widely

applied in fuel cell stacks, photovoltaic arrays,

battery sources, and high intensity discharge (HID) lamps

power systems. Active-network converters with coupled

inductors (CL-ANC) are derived from switched inductor

active-network converters (SL-ANC). The proposed

convertercontains two coupled inductors which can be

integrated into one magnetic core and two power

switches. The convertercan provide a relatively high

voltage conversion ratio with a small duty cycle; the

voltage and current stress of powerswitches are low

which is helpful to reduce the losses. This paper shows

the key waveforms of the CL-ANC anddetailed derivation

of the steady-state operation principle. The voltage

conversion ratio and the effect of the leakage

inductance on voltage gain are discussed. The voltage

2015

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stress and current stress on the power devices are

illustrated andthe comparison between the proposed

converter and SL-ANC are given. Finally, the prototype

has been established inthe lab with 200V and 400V

output under different turn ratios. Experimental results are

given to verify the correctnessof the analysis.

41. MATLAB2015_41 Modeling and Controller

Design of a Semi-Isolated

Multi-Input Converter for

Hybrid PV/Wind Power

Charger System

The objective of this paper is to propose the

development of a multi-input dc-dc converter (MIC)

family whichis composed of isolated and/or non-isolated

dc-dc converters. Byanalyzing five basic isolated dc-dc

converters, four isolatedpulsating voltage source cells (I-

PVSCs) and three isolatedpulsating current source cells

(I-PCSCs) are generated. Moreover,a semi-isolated multi-

input converter (S-MIC) for hybridPV/wind power

charger system which can simplify the power

system, reduce the cost, deliver continuous power and

overcomehigh voltage-transfer-ratio problems is

proposed. In this paper,the operational principle of the

proposed S-MIC is explained, thesmall-signal ac model is

derived and the controller design isdeveloped. Computer

simulations and experimental results arepresented to

verify the accuracy of the proposed small signal acmodel

and the performance of the proposed S-MIC.

2015

42. MATLAB2015_42 A Four-Switch Three- The four-switch three-phase (FSTP) inverterhas been 2015

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Phase SEPIC-Based

Inverter

proposed as an innovative inverter design to

reduce the cost, complexity, size, and switching losses of

the DC-AC conversion system. Traditional FSTP inverter

usually operates at half the DC input voltage, hence, the

output line voltage cannot exceed this value. This paper

proposes a novel design for the FSTP inverter based on

thetopology of the single-ended primary-inductance

converter(SEPIC). The proposed topology provides pure

sinusoidaloutput voltages with no need for output filter.

Comparedto traditional FSTP inverter, the proposed

FSTP SEPICinverter improves the voltage utilization

factor of the inputDC supply, where the proposed

topology provides higheroutput line voltage which can be

extended up to the fullvalue of the DC input voltage. The

integral sliding-modecontrol is used with the proposed

topology to optimize itsdynamics and to ensure

robustness of the system duringdifferent operating

conditions. Derivation of the equationsdescribing the

parameters design, components ratings, andthe operation

of the proposed SEPIC inverter is presentedin this paper.

Simulation model and experimental setupare used to

validate the proposed concept. Simulations

andexperimental results show the effectiveness of

theproposedinverter.

43. MATLAB2015_43 High-Efficiency Isolated

Single-Input Multiple-

This study presents a high-efficiency isolated single-input

multiple-output bidirectional (HISMB) converter for a 2015

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Output

Bidirectional Converter

power storage system. According to the power

management, the proposed HISMB converter can operate

at a step-up state (energy release) and a step-down state

(energy storage). At the step-up state, it can boost the

voltage of a low-voltage input power source to a high-

voltage-side dc bus and middle-voltage terminals. When

the high-voltage-side dc bus has excess energy, one can

reversely transmit the energy. The high-voltage dc bus

can take as the main power, and middle-voltage output

terminals can supply powers for individual middle-

voltage dc loads or to charge auxiliary power sources

(e.g., battery modules). In this study, a coupled-inductor-

based HISMB converter accomplishes the bidirectional

power control with the properties of voltage clamping and

soft switching, and the corresponding device

specifications are adequately designed. As a result, the

energy of the leakage inductor of the coupled inductor

can be recycled and released to the high-voltage-side dc

bus and auxiliary power sources, and the voltage stresses

on power switches can be greatly reduced. Moreover, the

switching losses can be significantly decreased because of

all power switches with zero-voltage-switching (ZVS)

features. Therefore, the objectives of high-efficiency

power conversion, electric isolation, bidirectional energy

transmission, and various output voltage with different

levels can be obtained. The effectiveness of the proposed

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HISMB converter is verified by experimental results of a

kW-level prototype in practical applications.

44. MATLAB2015_44 Modularized Control

Strategy and Performance

Analysis of DFIG System

under Unbalanced and

Harmonic Grid Voltage

The paper presents a modularized control

strategy of doubly fed induction generator (DFIG)

system,including the grid-side converter (GSC) and rotor-

sideconverter (RSC), under unbalanced and harmonic

gridvoltage. The sequence decomposition process

andcomplicated control reference calculation can be

avoidedin the proposed control strategy. From the

perspective ofpower grid friendly-operation, the control

targets of DFIGsystem in this paper are chosen as: 1)

smooth active andreactive power injected into the power

grid; 2) balancedand sinusoidal current injected into the

power grid. TheRSC and GSC can work as two

independent modules andthe communication between

RSC and GSC can beremoved. Furthermore, the 3rd

harmonic currentcomponent, DC link voltage fluctuation

andelectromagnetic torque pulsation under the different

control targets are theoretically analyzed. Finally, the

availability of the proposed modularized control strategy

of DFIG system under unbalanced and distorted grid

voltage is verified by experiment results.

2015

45. MATLAB2015_45 Resonant Switched-

Capacitor Voltage

A new, small and efficient voltage regulator,

realized using a resonant switched capacitor converter 2015

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Regulator with Ideal

Transient Response

technology, is introduced. Voltage regulation is

implemented by means of simple digital pulse density

modulation. It displays an ideal transient response with a

zero-order nature to all disturbance types. The newly

developed topology acts as a gyrator with a wide range of

voltage conversion ratios (below as well as above unity)

with constant efficiency characteristics for the entire

operation range. The operation of the voltage regulator is

verified on a 20W experimental prototype, demonstrating

ideal transient recovery without over/under-shoots in

response to load and line transients. Simple design

guidelines for the voltage regulation system are provided

and verified by experiments.

46. MATLAB2015_46 On the Performance of

Multiobjective

Evolutionary

Algorithms in Automatic

Parameter Extraction of

Power Diodes

In this paper, a general, robust, and automatic

parameter extraction of nonlinear compact models is

presented.The parameter extraction is based on

multiobjective optimizationusing evolutionary algorithms

which allow fitting of several highly

nonlinear and highly conflicting characteristics

simultaneously.Two multiobjective evolutionary

algorithms which have beenproved to be robust for a wide

range of multiobjective problems [1]–[3], the

Nondominated Sorting Genetic Algorithm II

and the Multiobjective Covariance Matrix Adaptation

EvolutionStrategy, are used in the parameter extraction of

2015

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a novel powerdiode compact model based on the lumped

charge technique.The performance of the algorithms is

assessed using a systematicstatistical approach. Good

agreement between the simulated and

measured characteristics of the power diode shows the

accuracyof the used compact model and the efficiency

and effectivenessof the proposed multiobjective

optimization scheme.

47. MATLAB2015_47 Development of a Wind

Interior Permanent-Magnet

Synchronous Generator

Based Microgrid and Its

Operation Control

This paper presents the development of a wind

interior permanent-magnet synchronous generator

(IPMSG)based DC micro-grid and its operation control.

First, thederated characteristics of PMSG systems with

various AC/DCconverters and operation controls are

comparatively analyzed.Then the IPMSG followed by

three-phase Vienna switchmode rectifier (SMR) is

developed to establish the commonDC bus of DC micro-

grid. Good developed power and voltageregulation

characteristics are achieved via the proposedcommutation

tuning, robust current and voltage controls.

Second, a single-phase three-wire (1P3W) inverter is

constructed to serve as the test load. Good AC

220V/110Voutput voltage waveforms under unknown

and nonlinearloads are preserved by the developed robust

2015

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waveformtracking control scheme. Third, a battery energy

storagesystem (BESS) is established, and the fast energy

storagesupport response is obtained via the proposed

droop controlapproach with adaptive predictive current

control method. Inaddition, a chopped dump load is

equipped to enhance theenergy balance control flexibility.

48. MATLAB2015_48 A Novel Drive Method for

High-Speed

Brushless DC Motor

Operating in a Wide

Range

In this paper, a novel drive method, which is different

from the traditional motor drive techniques, for high-

speedbrushless DC (BLDC) motor is proposed and

verified by a seriesof experiments. It is well known that

the BLDC motor can bedriven by either Pulse-Width

Modulation (PWM) techniques witha constant DC-link

voltage or Pulse-Amplitude Modulation (PAM)techniques

with an adjustable DC-link voltage. However, to ourbest

knowledge, there is rare study providing a proper drive

method for high-speed BLDC motor with a large power

over a widespeed range. Therefore, the detailed

theoretical analysis comparison of the PWM control and

the PAM control for high-speedBLDC motor is first

given. Then a conclusion that the PAM control is superior

to the PWM control at high speed is obtained

because of decreasing the commutation delay and high

frequencyharmonic wave. Meanwhile, a new high-speed

BLDC motor drivemethod based on the hybrid approach

combining PWM and PAMis proposed. At last, the

2015

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feasibility and effectiveness of the performance analysis

comparison and the new drive method areverified by

several experiments.

49. MATLAB2015_49 The Dynamic Control of

Reactive Power for the

Brushless Doubly Fed

Induction Machine with

Indirect Stator-quantities

Control Scheme

Compared to the doubly fed induction

machine (DFIM), the brushless doubly fed induction

machine (BDFIM) has higher reliability by virtue of the

absence of a brush gear. Recent research on structure

optimization design and control strategy of BDFIM has

made remarkable progress. BDFIM indirect

stator-quantities control (ISC) is a new control strategy,

which, in comparison to vector control strategy, requires

fewer parameters and does not need rotating coordinate

transformation. This paper further develops the dynamic

control of reactive power for the BDFIM with ISC

scheme.Detailed theoretical analysis is done to show the

controllerstructure of the reactive power. The

experimental resultsof the prototype show the feasibility

of the proposedscheme. As a result, the proposed ISC

controllers havebeen able to control not only speed and

torque, but alsothe reactive power.

2015

50. MATLAB2015_50 An LCL-LC Filter for

Grid-Connected

Converter: Topology,

Parameter and Analysis

In order to further cut down the cost of filter for

grid-connected pulse width modulation (PWM) converter

underthe more and more stringent grid code, a new kind

of high orderfilter, named LCL-LC filter, is presented in

2015

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this paper. Theresonant frequency characteristics of the

filter are analyzed anda parameter design method on the

base of the characteristics isalso proposed in the paper.

The proposed parameter designmethod can easily make

full use of the existing research resultsabout the

traditional LCL filter parameter design. And then a

parameter robustness analysis method based on

four-dimensional graphics is proposed to analyze

parameterrobustness of the presented filter. Compared

with the traditionalone, the proposed analysis method can

analyze the filterperformance under variations of several

parameters at a timewithout any iteration. The

comparative analysis and discussionconsidering the LCL

filter, the trap filter, and the LCL-LC filter,

are presented and verified through the experiments on a

5kWgrid-connected converter prototype. Experiment

resultsdemonstrate the accuracy of theoretical analysis

and prove thepresented filter has a better performance

than two others.

51. MATLAB2015_51 3D microtransformers for

DC-DC on-chip

power conversion

We address the miniaturization of power converters by

introducing novel, 3D microtransformers with magnetic

core forlow-MHz frequency applications. The core is

fabricated by lamination and microstructuring of

Metglas® 2714A magnetic alloy. Thesolenoids of the

microtransformers are wound around the core using a

2015

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ball-wedge wirebonder. The wirebonding process is fast,

allowingthe fabrication of solenoids with up to 40 turns in

10 s. The fabricated devices yield the high inductanceper

unit volume of 2.95 µH/mm3and energy per unit volume

of 133 nJ/mm3 at the frequency of 1 MHz. The power

efficiency of 64-76% are measured for different turnsratio

with coupling factors as high as 98%.

52. MATLAB2015_52 Indirect Matrix Converter-

Based Topology

and Modulation Schemes

for Enhancing

Input Reactive Power

Capability

A new topology based on indirect matrix converter

(IMC) is proposed to enhance the input reactive power

capability. This topology consists of a conventional IMC

and an auxiliaryswitching network (ASN), which is

connected to the dc-link of theIMC in parallel. With the

aid of ASN, an implicit current sourceconverter-based

static synchronous compensator can be embedded

into an IMC, which lays a foundation for the input

reactive powercontrol. Based on the proposed topology,

two modulation schemesare presented, and the formations

of the output voltage and input reactive current are

decoupled in both of them. To minimize

power loss and improve input current quality, a double

closed-loopcontrol algorithm is introduced, in which the

current through thedc inductor in ASN is controlled to be

minimum. Different fromthe conventional IMC, the input

reactive power of the topologyis independent of its load

condition without considering the practical constraints.

2015

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The effectiveness of the proposed topology

andmodulation scheme is confirmed by experimental

results.

53. MATLAB2015_53 Closed Loop Discontinuous

Modulation Technique

for Capacitor Voltage

Ripples and Switching

Losses

Reduction in Modular

Multilevel Converters

In this paper, a new discontinuous modulation

technique is presented for the operation of the modular

multilevelconverter (MMC). The modulation technique is

based on addinga zero-sequence to the original

modulation signals so that theMMC arms are clamped to

the upper or lower terminals of thedc-link bus. The

clamping intervals are controlled according to

the absolute value of the output current to minimize the

switchinglosses of the MMC. A significant reduction in

the capacitorvoltage ripples is achieved, especially when

operating with lowmodulation indices. Furthermore, a

circulating current controlstrategy suitable for this

modulation technique is also proposed.Simulation and

experimental results under various operatingpoints are

reported along with evaluation and comparison results

against a conventional carrier-based pulse-width

modulationmethod.

2015

54. MATLAB2015_54 Decentralized Inverse-

Droop Control for

Input-Series-Output-

Parallel DC-DC Converters

Input-series-output-parallel (ISOP) DC-DCconverters are

suited for high input-voltage and lowoutput-voltage

applications. This letter presents adecentralized inverse-

droop control for this configuration.Each module is self-

contained and no central controller isneeded, thus

2015

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improving the system modularity, reliabilityand

flexibility. With the proposed inverse-droop control,

the output voltage reference rises as the load becomes

heavy. Even though the input voltages is not used in the

inverse-droop loop, the power sharing including input

voltage sharing (IVS) and output current sharing (OCS)

can still be well achieved. Besides, the output voltage

regulation characteristic is not affected by the variation

of input voltage. The operation principle is introduced,

and stability of the strategy is also revealed based on

small signal modeling. Finally, the experiment is

conducted to verify the effectiveness of the control

strategy.

55. MATLAB2015_55 Detailed Analysis of DC-

Link Virtual Impedance

based Suppression Method

for Harmonics Interaction

in High-Power PWM

Current-Source Motor

Drives

For high-power PWM current-source motor drive

systems, due to the low converter switching frequency

and therelative small dc choke for reduced cost/weight,

the converters‘switching harmonics may interact through

dc link and produceinterharmonics in the entire system.

Such harmonics interactionphenomenon may give rise to

the system resonance at certainmotor speeds, which

degrades the grid-side power quality andgenerates

excessive torque ripples on the motor side. The resonance

caused by the harmonics interaction in high-power PWM

current-source motor drives is investigated in previous

work. Inaddition, to actively suppress such resonance, the

basic idea of adc-link virtual impedance based

2015

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suppression method has alsobeen proposed. This paper

extends the previous work to thoroughly analyze the

mechanism and realization of resonance suppression by

the dc-link virtual impedance based method. The indepth

analysis shows that the dc-link virtual impedance based

method successfully enables the active interharmonics

compensation capability of high-power PWM current-

source drives, whichis not addressed in previous

researches. Moreover, simulationsand experiments

demonstrate that, by following the selection ofcoefficient

in the suppression method discussed in this paper, the

dc-link virtual impedance based method can effectively

enhancethe attenuation effect of dc link in high-power

PWM currentsource drive systems so as to suppress the

resonance due to theharmonics interaction under all

resonance conditions.

56. MATLAB2015_56 An Online Frequency-

Domain Junction

Temperature Estimation

Method for IGBT Modules

This letter proposes a new frequency-domain

thermal model for online junction temperature estimation

ofinsulated-gate bipolar transistor (IGBT) modules. The

proposedmodel characterizes the thermal behavior of an

IGBT module bya linear time-invariant (LTI) system,

whose frequency response isobtained by applying the fast

Fourier transform (FFT) to the timederivative of the

transient thermal impedance from junction to a

reference position of the IGBT module. The junction

2015

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temperatureof the IGBT is then estimated using the

frequency responses of theLTI system and the heat

sources of the IGBT module. Simulationresults show that

the proposed method is computationally efficient

for an accurate online junction temperature estimation of

IGBTmodules in both steady-state and transient loading

conditions.

57. MATLAB2015_57 Characterization of a

Silicon IGBT and Silicon

Carbide MOSFET Cross

Switch Hybrid

A parallel arrangement of a Silicon (Si) IGBT and a

Silicon Carbide (SiC) MOSFET is experimentally

demonstrated.The concept referred to as the Cross Switch

―XS‖ hybrid aims toreach optimum power device

performance by providing low staticand dynamic losses

while improving the overall electrical andthermal

properties due to the combination of both the bipolar Si

IGBT and unipolar SiC MOSFET characteristics. For the

purposeof demonstrating the XS hybrid, the parallel

configuration wasimplemented experimentally in a single

package for devices ratedat 1200V. Test results were

obtained to validate this approach withrespect to the static

and dynamic performance when compared to

a full Si IGBT and a full SiC MOSFET reference

deviceshavingthe same power ratings as for the XS hybrid

samples.

2015

58. MATLAB2015_58 LCL Filter Design and The harmonic filter for a 3-level neutral point 2015

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Inductor Current Ripple

Analysis for 3-

level NPC Grid Interface

Converter

clamped (NPC) grid interface converter is designed in this

paperwith good filtering performance and small

component size. LCLtopology is selected because of the

attenuation and size tradeoff.The design of the inverter

side inductor L1 is emphasized due toits cost. A detailed

inductor current ripple analysis is givenbased on the space

vector modulation (SVM). The analysisderives the

inductor volt-second and the maximum current

ripple equation in line cycle. It also reveals the switching

cyclecurrent ripple distribution over a line cycle, with the

consideration of power factor. The total system loss is

calculatedwith different ripple current. Inductor L1 is

determined by theloss and size tradeoff. Also the

capacitor and grid side inductorL2 is designed based on

attenuation requirement. Differentdamping circuits for

LCL filter are compared and investigatedin detail. The

filter design is verified by both simulation and a200kVA

3-level NPC converter hardware.

59. MATLAB2015_59 Virtual RC Damping of

LCL-Filtered Voltage

Source Converters with

Extended Selective

Harmonic Compensation

Active damping and harmonic compensation are

two common challenges faced by LCL-filtered voltage

source converters. To manage them holistically, this

paper begins byproposing a virtual RC damper in parallel

with the passive filtercapacitor. The virtual damper is

actively inserted by feeding backthe passive capacitor

2015

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current through a high-pass filter, whichindirectly,

furnishes two superior features. They are the

mitigation of phase lag experienced by a conventional

damperand the avoidance of instability caused by the

negative resistanceinserted unintentionally. Moreover,

with the virtual RC damper,the frequency region, within

which the harmonic compensation iseffective, can be

extended beyond the gain crossover frequency.This is of

interest to some high-performance applications, but has

presently not been achieved by existing schemes.

Performance ofthe proposed scheme has been tested in

the laboratory withresults obtained for demonstrating

stability and harmoniccompensation.

60. MATLAB2015_60 Versatile Control of

Unidirectional AC-DC

Boost Converters for

Power Quality Mitigation

This paper introduces a versatile control scheme for

unidirectional ac-dc boost converters for the purpose of

mitigating grid power quality. Since most power factor

correctioncircuits available in the commercial market

utilize unidirectionalac-dc boost converter topologies, this

is an almost no-cost solutionfor compensating harmonic

current and reactive power inresidential applications.

Harmonic current and reactive power

compensation methods in the unidirectional ac-dc boost

converterare investigated. The additional focus of this

paper is to quantifythe input current distortions by the

unidirectional ac-dc boostconverter used for supplying

2015

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Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

not only active power to the load butalso reactive power.

Due to input current distortions, the amountof reactive

power injected from an individual converter to the grid

should be restricted. Experimental results are presented to

validate the effectiveness of the proposed control method.

61. MATLAB2015_61 Aalborg Inverter — A new

type of ―Buck in

Buck, Boost in Boost‖

Grid-tied Inverter

This paper presents a new family of high

efficiency DC/AC grid-tied inverter with a wide

variation of input DC voltage. It is a ―Boost in Boost,

Buck in Buck‖ inverter, meaning that only one power

stage works at high frequency in order to achieve

minimum switching loss. The minimum voltage drop of

the filtering inductor in the power loop is achieved to

reduce the conduction power loss in both ―Boost‖ and

―Buck‖ mode. The principle of operation is

demonstrated through the analysis on the equivalent

circuits of a ―half-bridge‖ single-phase inverter. The

theoretical analysis shows that when input DC voltage

is larger than the magnitude of the AC voltage, it is a

Voltage Source Inverter (VSI), and on the contrary it is

Current Source Inverter (CSI) in the other mode. A

220 V/50 Hz/ 2000 W prototype has been constructed.

Simulations and experiments show it has a good control

and system performance.

2015

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Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

62. MATLAB2015_62 Grid-connected Forward

Micro-inverter with

Primary-Parallel

Secondary-Series

Transformer

This paper presents a primary-parallel secondaryseries

multicore forward micro-inverter for photovoltaic

ACmodule application. The presented micro-inverter

operateswith a constant off-time boundary mode control,

providingMPPT capability and unity power factor. The

proposed multitransformer solution allows using low-

profile unitary turnsratio transformers. Therefore, the

transformers are bettercoupled and the overall

performance of the micro-inverter isimproved. Due to the

multiphase solution the number ofdevices increases but,

the current stress and losses per device

are reduced contributing to an easier thermal

management.Furthermore, the decoupling capacitor is

split among thephases, contributing to a low-profile

solution withoutelectrolytic capacitors suitable to be

mounted in the frame of aPV module. The proposed

solution is compared to the classicalparallel interleaved

approach, showing better efficiency in awide power range

and improving the weighted efficiency.

2015

63. MATLAB2015_63 A Single-Stage

PhotoVoltaic System for a

DualInverter fed Open-End

Winding Induction Motor

This paper presents an integrated solution for

PhotoVoltaic (PV) fed water-pump drive system, which

uses anOpen-End Winding Induction Motor (OEWIM).

The dualinverter fed OEWIM drive achieves the

2015

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Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

Drive for Pumping

Applications

functionality of a threelevel inverter and requires low

value DC bus voltage. This helpsin an optimal

arrangement of PV modules, which could avoidlarge

strings and helps in improving the PV performance with

wide band-width of operating voltage. It also reduces the

voltagerating of the DC-link capacitors and switching

devices used in thesystem. The proposed control strategy

achieves an integration ofboth Maximum Power Point

Tracking (MPPT) and V/f controlfor the efficient

utilization of the PV panels and the motor. The

proposed control scheme requires the sensing of PV

voltage andcurrent only. Thus, the system requires less

number of sensors.All the analytical, simulation and

experimental results of thiswork under different

environmental conditions are presented inthis paper.

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Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

MATLAB PROJECTS 2014

SN PROJECT

CODE

PROJECT TOPIC YEAR

1

MAT1425

Topic: Diagnosis of diabetic retinopathy by employingimage processing technique to detect exudates

inretinal images

Abstract: Diabetic retinopathy (DR) is a microvascular complication of long-term diabetes and it is the

major cause of visualimpairment because of changes in blood vessels of the retina. Major vision loss because

of DR is highly preventable withregular screening and timely intervention at the earlier stages. The presence of exudates is one of the primitive signs of DRand the detection of these exudates is thefirst step in

2014

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PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

automated screening for DR. Hence, exudates detection becomes asignificant diagnostic task, in which digital retinal imaging plays a vital role. In this study, the authors propose an algorithmto detect the presence

of exudates automatically and this helps the ophthalmologists in the diagnosis and follow-up of DR.Exudates

are normally detected by their high grey-level variations and they have used an artificial neural network to performthis task by applying colour, size, shape and texture as the features. The performance of the authors

algorithm has beenprospectively tested by using DIARETDB1 database and evaluated by comparing the

results with the ground-truth imagesannotated by expert ophthalmologists. They have obtained illustrative results of mean sensitivity 96.3%, mean specificity99.8%, using lesion-based evaluation criterion and

achieved a classification accuracy of 99.7%.

2

MAT1424

Topic: Data Hiding in Encrypted H.264/AVC VideoStreams by Codeword Substitution

Abstract: Digital video sometimes needs to be stored andprocessed in an encrypted format to maintain

security andprivacy. For the purpose of content notation and/or tampering detection, it is necessary to

perform data hiding in theseencrypted videos. In this way, data hiding in encrypted domainwithout decryption preserves the confidentiality of the contentIn addition, it is more efficient without decryption

followed bydata hiding and re-encryption. In this paper, a novel schemeof data hiding directly in the

encrypted version of H.264/AVCvideo stream is proposed, which includes the following threeparts, i.e., H.264/AVC video encryption, data embedding, anddata extraction. By analyzing the property of H.264/AVC

codec,the codewords of intraprediction modes, the codewords of motionvector differences, and the

codewords of residual coefficients areencrypted with stream ciphers. Then, a data hider may embedadditional data in the encrypted domain by using codewordsubstitution technique, without knowing

the original video content. In order to adapt to different application scenarios, dataextraction can be done

either in the encrypted domain or in thedecrypted domain. Furthermore, video file size is strictly preserved even after encryption and data embedding. Experimentalresults have demonstrated the feasibility and

efficiency of theproposed scheme.

2014

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PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

3

MAT1423

Topic: Edge Detection Method for Image Processingbased on Generalized Type-2 Fuzzy Logic

Abstract: This paper presents an edge detection method based on the morphological gradient

technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to implement generalized type-2 fuzzy logic for edge detection. For the defuzzification process, the heights and

approximation methods are used. Simulation results with a type-1 fuzzy inference system (T1FIS), an

interval type-2 fuzzy inference system (IT2FIS) and with a generalized type-2 fuzzy inference system (GT2FIS) for edge detection are presented. The proposed generalized type-2 fuzzy edge detection method

was tested with benchmark images and synthetic images. We used the merit of Pratt measure to

illustrate the advantages of using generalizedtype-2 fuzzy logic.

2014

4

MAT1422

Topic: Deblurred images post-processingby Poisson warping

Abstract: In this work we develop a post-processing algorithm which enhances the results of the existing

image deblurringmethods. It performs additional edge sharpening using grid warping. The idea of the proposed algorithm is totransform the neighborhood of the edge so that the neighboring pixels move closer

to the edge, and then resamplethe image from the warped grid to the original uniform grid. The proposed

technique preserves image textures whilemaking the edges sharper. The effectiveness of the method is shown for basic deblurring methods on LIVE databaseimages with added blur and noise.

2014

5

MAT1421

Topic: Image Contrast Enhancement UsingColor and Depth Histograms

Abstract: In this letter, we propose a new global contrast enhancement algorithm using the histograms of

color and depth images. On the basis of the histogram-modification framework, thecolor and depth image

histograms arefirst partitioned into subintervals using the Gaussian mixture model. The positions partitioning

2014

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VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

the color histogram are then adjusted such that spatiallyneighboring pixels with the similar intensity and depth values canbe grouped into the same sub-interval. By estimating the mappingcurve of the contrast

enhancement for each sub-interval, the globalimage contrast can be improved without over-enhancing the

localimage contrast. Experimentalresults demonstrate the effectiveness of the proposed algorithm.

6

MAT1420

Topic: Object Tracking Based on Active Contour Modeling

Abstract: Object Tracking based on Active Contour Modeling is an image processing based technology that uses snapshots of the object under consideration to track it via robot in the realworld. The objective has been

to implement a unique methodology that employs the pursuing and adapting of contour to the current state of

image, and hence track the object. Thesystem can be implemented in drone planes wherein this algorithm can be used to guide the movement of the gun based onthe movements of the object, or, in robot games with

a slightly more advanced robot. Initially Image Processing is performed to reduce operation complexity and

achieve swift real-time performance. A set of contour-based modeling algorithms is then implemented to ‗actively‘ track the subject. Also, relative

transformation calculations are made to lock the target via robot,continuously. MATLAB is used to simulate

and implement the system and it is tested on field with a ball placed on it and a robot tracking the ball. The experiments prove that the system successfully detects and tracks the object efficiently in the real world for

all horizontal and vertical transitions.

2014

7

MAT1419

Topic: Vision Based Data Extraction of Vehicles in Traffic

Abstract: With the rise in traffic related crimes the needfor an efficient automated surveillance system has become ofutmost importance. This paper proposes a system to monitorvideo from traffic cameras and

process it in real time forstoring essential information of the vehicles in traffic. Histogramof Oriented

Gradients (HOG) of extracted frames is used asfeatures for classification (vehicle frame and non vehicle

2014

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VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

frame).The classifier is designed based on Support Vector Machine(SVM) . The subtracted image acquired from a dynamicallyupdated background image is used to extract the vehicle imagefor recognition using

trained Artificial Neural Network(ANN).The system is designed to store details like vehicle make,

model,color and time of passing the camera in a database (MicrosoftAccess (MS Access)). Finally the stored details are made availablethrough a Graphical User Interface(GUI) designed using VisualBasic(VB) that will

provide an user with the options of selectinga time window to look for the vehicles that have passed

withinthat interval or to enter a car model to check if it has passed thatpoint at any time. The system is modeled in MATLAB and testedin a real time environment in one of the busiest road in Kamrupdistrict of

Assam and provides satisfactory performance.

8

MAT1418

Topic: Digital Right Management Control for Joint Ownership of Digital Images using Biometric

Features

Abstract: This paper proposes a method to establish joint ownership of digital images by embedding imperceptible digital pattern in the image. This digital pattern is generated frombiometric features of more

than one subject in a strategic matter so that the identification of individual subject can be done and the

multiple ownership of the digital images can be established. This digital pattern was embedded and extracted from the image and the experiments were also carried out when the image was subjected to signal processing

attacks. Coefficients of mid frequency band discrete cosine transform was used for

embedding as these coefficients do not adversely affect the perceptual transparency and is also significantly robust to normal signal processing attacks. Experimental results indicate that the insertion of this digital

pattern does not change the perceptual properties of the image and the pattern survives

signal processing attacks which can be extracted for unique identification.

2014

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PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

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Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

9

MAT1417

Topic: Intelligent Water Metering System: An Image Processing Approach (MATLAB simulations)

Abstract: The scarcity and misuse of fresh water pose a serious and growing threat to sustainable

development. The population growth, severe droughts and uneven distribution of water resources are the

reasons for water scarcity, and this scarcity will only continue to grow more severe. The technical sophistication of meters for measuring water flows has increased noticeably in recent decades in order to

improve management of water. This paper proposes simple image processing approach for an intelligent

metering system. The proposed system uses simple image processing algorithms and DSP processor, capable of executing MIPS; which makes whole system respond faster. As meter image is being captured from set

distance, meter mask generation reduces the need of algorithms for detection and segmentation of meter

reading. The proposed system improves the efficiency of drinking water management and reduces power consumption as image sensor is activated as per predefined billing cycle.

2014

10

MAT1416

Topic: Fingerprint Recognition Using Gabor Filter

Abstract: Fingerprint recognition is the most popular methods used for identification with higher degree of

success. The fingerprint has unique characteristics called minutiae, which are points where a curve track finishes, intersect or branches off. In this work a method for Fingerprint recognition is considered using a

combination of Fast Fourier Transform (FFT) and Gabor Filters forenhancing the image. The proposed

method involves combination of Gabor filter and Frequency domain filtering for enhancing the fingerprint. With eight different orientations of Gabor filter, features of the fingerprint

extracting are combined. In Frequency domain filtering, the fingerprint image is subdivided into 32*32 small

frames. Features are extracted from these frames in frequency domain. Final enhanced fingerprint is obtained

2014

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VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

with the results of Gabor filter and frequency domain filtering. Binarization and Thinning follows next where the enhanced fingerprint is converted into binary and the ridges are thinned to one pixel width. This

helps in extracting the Minutiae parts (ridge bifurcation and ridge endings). The overall recognition rate for

the proposed method is 95% which is much better than histogram method where the recognition rate is 64%. This project is implemented in MATLAB.

11

MAT1415

Topic: ARIMA Model based Breast Cancer Detection and Classification through Image Processing

Abstract: Computer Aided Diagnosis (CAD) has changed theway of medical diagnostics. As similar to other walk of diagnostics field, CAD is having high potential in breast cancer prognosis because of its

highest accuracy. CAD may play a very important role in developing countries i.e. EIT-MEM

(ElectricalImpedance Tomography –Multi-frequency Electrical Impedance Mammography) device being used for breast cancer defection.MEM-EIT produces tomography based mammograms which are

considered most reliable method of early detection of breast cancer. Cancer diagnostic expert all over the

world find this noninvasive technique very accurate as it is one dimensional representation of images in terms of temperature however the accuracy is limited and investigator fail to take into account the spatial co-

ordination between the pixels which is crucial in cancerous tumour detection and their classification

(cancerous or normal) in EIT (Electrical Impedance Tomography) - based mammogram images. In this study, we are trying to focus an algorithms based CAD (Computer Aided Diagnosis) model for tumour

detection and classification. We model it by ARIMA model (autoregressive integrated moving average

(ARIMA) model) and parameter estimation will be performed using leassquare method. Our system classifies the tumour into three categories- (i) healthy tissue (ii) benign tissue (iii) cancerous tissue along

with above three segments the performance analysis

between 2D image and 1D image will be done for better accuracy and sensitivity detection.

2014

12

MAT1414

Topic: Human Hand Image Analysis Extracting Finger Coordinates and Axial Vectors

2014

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PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

Abstract: This paper presents a finger cut-off algorithm for accurate calculation of fingertip coordinates based on hand contours. It provides not only information on exact fingertip position but also orientation and

lengths of all fingers in the image. Algorithm can be used for development of user interfaces based on human

gesture analysis, such as TouchTable, multimodal gesture based user interface developed by the author. Advantages of proposed algorithm over fingertip detection algorithm originally used in TouchTable are

described.

13

MAT1413

Topic: Automatic Brain Tumor Detection and Segmentation in MR Images

Abstract: The MRI or CT scan images are primary follow up diagnostic tools when a neurologic exam

indicates a possibility of a primary or metastatic brain tumor existence. The tumor tissue mainly appears in brighter colors than the rest of the regions inthe brain. Based on this observation, an automated algorithm for

brain tumor detection and medical doctors‘ assistance in facilitated and accelerated diagnosis procedure has

been developed and initially tested on images obtained from the patients with diagnosedtumors and healthy subjects.

2014

14

MAT1412

Topic: RGB ratios based skin detection

Abstract: Many different applications like face/people detection, image content interpretation, de-

identification for privacy protection in multimedia content, etc. requires skin detection as a pre-

2014

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PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

processing step. There is no a perfect solution for skin detection, since this process is a compromise on speed, simplicity and precision (detection quality). There are many different techniques for skin

detection modeling ranging from simple models based on one or several thresholds to advanced

models based on neural network, Bayesian classifier, maximum entropy, k-means clustering, etc. This paper proposes a simple model, based on ratios of red, green and blue components of the RGB color

model. It describes how to make a compromise in a skin detection modeling by using three levels of

rules. Data analysis that supports conclusions is performed on the dataset from Universidad de Chile (UChile, dbskin2 –complete set) that contains 103 images and their annotations.

15

MAT1411

Topic: Embedding of Sound Clips as a Watermark in StilI Images using Discrete Wavelet Transform

Abstract: Embedding uj‘sndkr im+ys in Iarger images ming the oppmach of watermarking is being efecfively iised ,for image scvutinv. Wirh che advent of digital image processing; secure addition of

wutwmah in digitized images ming varivirs techtiiqzies has evolved, The me of wavelet transform for the

said pz~ipose has pw ved wry usefit/. This puper presenis a preliminary research carried out to embed audio clips in still images. The technique uses audio puperties aiidfirral disrortiun tfrreshold in the furget image

us parameters-for decision moking,fiw various aspects of the iinplemenfed scheme. Some of these decisions

ure selection oJ either grav scale or color images, decomposition level for the wavelet tmnsfbrni, chanvlel selection, sound sample and synrhwis of [he sound sample into minsamples. The research i.y

being exfended ,fbr embedding of audio samples in image sequences for video transmissions jbr .secwe

artdio commzrnication applicalions

2014

16

MAT1410

Topic: Automatic brain tumor detection and segmentation for MRI using covariance and

geodesic distance

Abstract: In this paper, we present a new approach that allows the detection and segmentation of

brain tumors automatically. The approach is based on covariance and geodesic distance. The

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

detection of central coordinates of abnormal tissues is based on the covariance method. These coordinates are used to segment the brain tumor area using geodesic distance for Tl and T2

weighted magnetic resonance images (MRI). The ultimate objective is to retrieve the attributes of the

tumor observed on the image to use them in the step of segmentation and classification. The present methods are tested on images of Tl and T2 weighted MR and have shown a better performance in

the analysis of biomedical images.

17

MAT1409

Topic: ANALYSIS OF RETINAL BLOOD VESSELS USING IMAGE PROCESSING

TECHNIQUES

Abstract: Assessment of blood vessels in human eye allows earlier detection of eye diseases such as

glaucoma and diabetic retinopathy. Digital image processing techniques play a vital role in retinal blood vessel detection , Several image processing methods and filters are in practise to detect and extract the

attributes of retinal blood vessels such as length ,width, pattern and angles. Automated Digital image

processing techniques and methods has to undergo more of improvisation to achieve precise accuracy to study the condition of Retinal Vessels especially in cases of Glaucoma and retinopathy; we have explained

various Templates based matched filters, Thresholding Methods, Segmentation methods, and functional

approaches to isolate the blood vessels.

2014

18

MAT1408

Topic: Automatic Optic Disc Detection in Digital Fundus Images Using Image Processing

Abstract: Optic disc (OD) is an important part of the eye. OD detection is an important step in

developing systems for automated diagnosis of various serious ophthalmic diseases like Diabetic

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

retinopathy, Glaucoma, hypertension etc. The variation of intensity within the optic disc and intensity close to the optic disc boundary are the major hurdle in automated optic disc detection. General edge

detection algorithms are frequently unsuccessful to segment the optic disc because of this. Complexity

increases due to the presence of blood vessels. This paper presents simple method for OD segmentation by using techniques like principal component analysis (PCA), mathematical morphology and

Watershed Transform. PCA used for good presentation of input image and mathematical morphology

is used to remove blood vessels from image. Watershed Transform is used for boundary segmentation.

19

MAT1407

Topic: A Comparative Analysis of Edge and Color Based Segmentation for Orange Fruit

Recognition

Abstract: In this paper, we presented two segmentation methods. Edge based and color based detection methods were used to segment images of orange fruits obtained under natural lighting

conditions. Twenty digitized images of orange fruits were randomly selected from the Internet in

order to find an orange in each image and to determine its location. We compared the results of both segmentation results and the color based segmentation outperforms the edge based segmentation

in all aspects. The MATLAB image processing toolbox is used for the computation and comparison

results are shown in the segmented image results.

2014

20

MAT1406

Topic: Detection of Leukemia in Microscopic Images Using Image Processing

Abstract: Leukemia occurs when lot of abnormal white blood cells produced by the bone marrow.

Hematologist makes use of microscopic study of human blood, which leads to need of

methods, including microscopic color imaging, segmentation, classification and clustering that can allow identification of patients suffering from Leukemia. The microscopic images will be inspected

visually by hematologists and the process is time consuming and tiring. The automatic image

processing system is urgently needed and can overcome related constraints in visual inspection.The

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

proposed system will be on microscopic images to detect Leukemia. The early and fast identification of Leukemia greatly aids in providing the appropriate treatment. Initial

segmentation is done using Statistical parameters such as mean, standard deviation which segregates

white blood cells from other blood components i.e. erythrocytes and platelets. Geometrical features such as area, perimeter of the white blood cell nucleusis investigated for diagnostic prediction of

Leukemia. The proposed method is successfully applied to a large number of images, showing

promising results for varying image quality.Different image processing algorithms such as Image Enhancement, Thresholding, Mathematical morphology and Labelling are implemented using LabVIEW

and MATLAB.

21

MAT1405

Topic: Lung Cancer Diagnosis Using CT-Scan Images Based on Cellular Learning Automata

Abstract: Lung cancer has killed many people in recent years. Early diagnosis of lung cancer can help

doctors to treat patients and keep them alive. The most common way to detect lung cancer is using the

Computed Tomography (CT) image. The systems that are created by the integration of computers and medical science are called Computer Aided Diagnosis (CAD). A CAD system that is adopted for the

diagnosis lung cancer, uses lung CT images as input and based on an algorithm helps doctors to perform an

image analysis. With the help of CAD, doctors can make the final decision. This paper is a study concerning automatic detection of lung cancer by using cellular learning automata. Images include some unwanted data

and some feature that are important for processing; pre-processing improves images by removing distortion

and enhance the important features. This system used lung CT scan so we applied some pre-processing method such as Gabor filter and region growing to improve CT

images. After pre-processing step according features the lung cancer nodule was extracted. The obtained

image through previous steps was entered to cellular learning automata lattice for training and making them possess the ability to detect lung cancer. The obtained results show, the proposed approach can reduce the

error rate.

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

22

MAT1404

Topic: Image Processing Based Vehicle Detection and Tracking Method

Abstract: Vehicle detection and tracking plays an effective and significant role in the area of traffic

surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various

researches have been done in this area and many methods have been implemented, still this area has room

for improvements. With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Gaussian mixture model and blob detection methods. First, we

differentiate the foreground from background in frames by learning the background. Here, foreground

detector detects the object and a binary computation is done to define rectangular regions around every detected object. To detect the moving object correctly and to remove the noise some morphological

operations have been applied. Then the final counting is done by tracking the detected objects and their

regions. The results are encouraging and we got more than 91% of average accuracy in detection and tracking using the Gaussian Mixture Model and Blob Detection methods.

2014

23

MAT1403

Topic: Image Encryption Based On Diffusion Process AndMultiple Chaotic Maps

Abstract: In the modern world, security is a prime importantissue and encryption is one of the preeminent

way to ensuresecurity. There are many image encryption schemes. Each one ofthem has its own strength and weakness. This project presents anovel algorithm for the image encryption and decryption scheme.The

project provides a secured image encryption technique usingmultiple chaotic based circular mapping. In this,

first, a pair ofsub keys is given by using chaotic logistic maps. Second, theimage is encrypted using logistic

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

map sub key and itstransformation leads to diffusion process. Third, sub keys aregenerated by four different chaotic maps. Based on the initialconditions, each map may produce various random numbersfrom various

orbits of the maps. Among those random numbers,

a particular number are selected as a key for the encryptionalgorithm. Based on the key, a binary sequence is generated tomanage the encryption algorithm. The input image of 2-D istransformed into a 1- D array by

using raster scanning. It is thendivided into various sub blocks. Then the position permutation isapplied to

each binary matrix based on multiple chaotic maps.Finally the receiver uses the same sub keys to decrypt theencrypted images. Also using the same encryption and decryptionalgorithm video is encrypted and

decrypted. Finally shown thatvideo encryption and decryption takes more time. Histogramanalysis,

correlation analysis are also done and found that thereis no statistical similarity between original and encrypted image.Peak Signal to Noise ratio is also calculated and found that theencrypted image is of higher

quality.

24

MAT1402

Topic: Real-time Vehicle Color Identification for Surveillance Videos

Abstract: Vehicles are one of the main detection targets of the traffic and security video surveillance

system. In this paper, we propose an automatic vehicle color identification method for vehicle classification.

The main idea of the proposed scheme is to divide a vehicle into a hierarchical coarse-to-fine structure to extract its wheels, windows, main body, and other auto parts. In the proposed method, the main body

alone is used by a support vector machine (SVM) for classification. Experimental results show that the

proposed scheme is efficient and effective and the proposed vehicle color identification is suitable for real-time surveillance applications.

2014

25

MAT1401

Topic: Intelligent Water Metering System: An Image Processing Approach (MATLAB simulations)

Abstract :The scarcity and misuse of fresh water pose a serious and growing threat to sustainable

development. The population growth, severe droughts and uneven distribution of water resources are the

2014

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BULK MATLAB IEEE TITLES 2015-16

PONDICHERRY BRANCH Technos Inc.,II nd Floor, Natesan Tower, 100 FEET ROAD, PUDUCHERRY, 605 005 CT: +91 9566492473, +91 9585338678. E-MAIL: [email protected] , www.technosinc.blogspot.com , www.technosinc.page.tl

VILLUPURAM BRANCH

Technos Inc., Pondy Main Road, Koliyanur, Villupuram.605103 CT: +919942340236, +919444340236. E-MAIL:[email protected] www.technosinc.blogspot.com , www.technosinc.page.tl

Project Cost Starting Range Rs 1,500 for Clients with Full Documentation with Complete 24*7 Online Support

reasons for water scarcity, and this scarcity will only continue to grow more severe. The technical sophistication of meters for measuring water flows has increased noticeably in recent decades in order to

improve management of water. This paper proposes simple image processing approach for an intelligent

metering system. The proposed system uses simple image processing algorithms and DSP processor, capable of executing MIPS; which makes whole system respond faster. As meter image is being captured from set

distance, meter mask generation reduces the need of algorithms for detection and segmentation of meter

reading. The proposed system improves the efficiency of drinking water management and reduces power consumption as image sensor is activated as per predefined billing cycle.