digital image processing & pattern analysis (csce 563) course outline & introduction prof....

Digital Image Processing&

Pattern Analysis(CSCE 563)

Course Outline & Introduction

Digital Image Processing&

Pattern Analysis(CSCE 563)

Course Outline & Introduction

Prof. Amr Goneid

Department of Computer Science & EngineeringThe American University in Cairo

Text Book & Other ReferencesText Book:

R. Gonzalez & P. Woods, “Digital Image Processing “, Addison-Wesley, 2nd Edition, 2002R. Gonzalez, R. Woods and S. Eddins, “ Digital Image Processing with MATLAB”, Pearson Prentice Hall, 2004

Other References:1. M. Seul, L. O'Gorman, M.J. Sammon, "Practical Algorithms for

Image Analysis", Cambridge University Press, 2000.2. T. Young & K.S. Fu , Ed., “Handbook of Pattern Recognition and

Image Processing“, Academic Press, 19863. MATLAB Image Processing Toolbox4. Selected Research Papers5. Web Page: www.cse.aucegypt.edu/~csci563/

Prof. Amr Goneid, AUC 2

Course Description

Fundamental concepts and basic techniques of digital image processing.Algorithms and recent research in image transformation, enhancement, restoration, encoding and description. Fundamentals and basic techniques of pattern recognition. Hands-on experience in image processing and pattern analysis using practical examples.

Prof. Amr Goneid, AUC 3

Topics

Introduction to Image ProcessingAcquisition, Representation and Storage of Digital ImagesGeometric Transformations.Intensity Transformations & Image EnhancementImage Encoding (Compression & Encryption) Segmentation & DescriptionFundamental Concepts in Pattern Recognition

Prof. Amr Goneid, AUC 4

Grading

Assignments : 15%

Midterm Exam 20%

Term Project : 20%

Terms Paper : 20%

Final Exam : 25%

Prof. Amr Goneid, AUC 5

Pixels as Units of Images

Original Image Zoomed

Prof. Amr Goneid, AUC 6

Color & Gray Scale

Prof. Amr Goneid, AUC 7

Binary Images

Binary Image (2 Levels)

Prof. Amr Goneid, AUC 8

Fundamental Steps in Image ProcessingFundamental Steps in Image Processing

Digital Image Acquisition & Display

Image Storage

Image Preprocessing

Image Segmentation

Image Description

Object ( Pattern ) Recognition

Image Interpretation & Understanding

Prof. Amr Goneid, AUC 9

Fundamental Steps in IP

Knowledge Base

Preprocessing

SegmentationRepresentation & Description

Recognition& Interpretation

Problem

Image Acquisition

Prof. Amr Goneid, AUC 10

Image PreprocessingImage Preprocessing

Geometric Operations

Image Transformation

Image Enhancement

Image Restoration

Image Compression

Image Encryption

Prof. Amr Goneid, AUC 11

Geometric Operations

Prof. Amr Goneid, AUC 12

Intensity Transformation

Gray Scale (256 levels) Negative

Prof. Amr Goneid, AUC 13

Image Enhancement

Prof. Amr Goneid, AUC 14

Image EnhancementSmoothing & Sharpening Filters

Prof. Amr Goneid, AUC 15

Image Compression

BMP Format (1885 Kb) JPEG Format (64 Kb)

Prof. Amr Goneid, AUC 16

Image Encryption

Plain Encrypted

Prof. Amr Goneid, AUC 17

Image SegmentationImage Segmentation

Point , Line and Edge Detection

Separation of Objects ( Thresholding )

Motion Detection

Prof. Amr Goneid, AUC 18

Edge Detection

Prof. Amr Goneid, AUC 19

Separation of Objects

Prof. Amr Goneid, AUC 20

Image DescriptionImage Description

Boundary Description

Region Description

Texture

Prof. Amr Goneid, AUC 21

Pattern AnalysisPattern Analysis

Pattern Classification

Matching

Neural Networks

Prof. Amr Goneid, AUC 22

Some Applications

Line Detection (e.g. Hough Transform)

Shape Recognition

Character Recognition

Face Recognition

Fingerprint Identification

Many Others

Prof. Amr Goneid, AUC 23

Image UnderstandingImage Understanding

Image Databases (e.g. CBIR)

Knowledge Bases

Expert Systems

Prof. Amr Goneid, AUC 24