vn imageprocessing13 revision

7/27/2019 Vn ImageProcessing13 Revision

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X L NH S:

n tp

Hunh Hu [email protected]


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2

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27Cc bc chnh trong x l nh s

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image

Compression


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Cc bc chnh trong x l nh s:Image Aquisition

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image

CompressionImagestakenfromGonzalez&Woods,

DigitalImageProcessing(2002)


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Cc bc chnh trong x l nh s:Image Enhancement

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image




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Cc bc chnh trong x l nh s:Image Restoration

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image




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Cc bc chnh trong x l nh s:Morphological Processing

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image




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Cc bc chnh trong x l nh s:Segmentation

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image




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Cc bc chnh trong x l nh s:Object Recognition

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image


DigitalIma

geProcessing(2002)


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Cc bc chnh trong x l nh s:Representation & Description

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image


DigitalIma

geProcessing(2002)


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Cc bc chnh trong x l nh s:Image Compression

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image

Compression


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Cc bc chnh trong x l nh s:Colour Image Processing

Image

Acquisition

Image

Restoration

Morphological

Processing

Segmentation

Representation

& Description

ImageEnhancement

Object

Recognition

Problem Domain

Colour Image

Processing

Image


DigitalIma

geProcessing(2002)


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27ACHTUNG!

THIS IS NOT A LIST OF

WHAT IS COMING UP IN

YOUR EXAM DO NOT

COMPLAIN!


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13

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27Gii thiu x l nh s

Th no l nh s?Th no l x l nh s?

Lch s ca x l nh s

Lnh vc ng dng ca x l nh s

Cc bc chnh trong x l nh s


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27C s v x l nh s

H thng th gic ca con nginh sng v ph in t

Thu nhn nh

Ly mu nh v lng t ha

Phn gii theo mc xm v khng gian


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27Ci thin nh

Ci thin nh trong min khng gian vmin tn s

X l im

Bin i Log Bin i luyw tha

Histograms

Histogram ca nh l g Cn bng Histogram


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27Lc khng gian

Qu trnh lc khng gian Can you explain how it works?

Lc lm mn

Vn vi bin nh trong qu trnh lc M rng v cc k thut m rng

S khc nhau gia tng quan v tch chp


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27Lc khng gian (tt)

o hm khng gian

Bc 1st

Bc 2nd

Cc b lc da trn o hm

Lm th no lm nt nh s dng b lc

)()1( xfxfx

f

)(2)1()1(2

2

xfxfxfxf

-1 -2 -1

0 0 0

1 2 1

-1 0 1

-2 0 2

-1 0 1

Sobel

0 1 0

1 -4 1

0 1 0

Laplacian

You dont need to knowthe maths used to derive

these filters


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27Lc min tn s

Bin i Fourier tng

Khng quan tm n biu din ton hc

Tm quan trng ca bin i Fourier ngcLm vic ca lc trong min tn s

Lc thng thp

L g? Lc thng thp l tng

Lc thng thp Butterworth

Lc thng thp Gaussian

You dont need to knowthe equations for these,

but you must be able to

draw them and explainwhat they do


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19

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27Lc min tn s (tt)

Lc thng cao L g?

Lc thng cao l tng

Lc thng cao Butterworth Lc thng cao Gaussian

Bin i Fourier nhanh v tm quan trng

ca n

You dont need to knowthe equations for these,

but you must be able todraw them and explain

what they do


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27Phc hi nh: Loi b nhiu

Ci thin nh khc vi phc hi nh ngha ca loi b nhiu? ngha ca m hnh nhiu?

Cc m hnh nhiu thng dng Gaussian Rayleigh

Erlang

Lc loi b nhiu Lc trung bnh n gin

Cc lc trung bnh khc

),(),(),( yxyxfyxg

Exponential

Uniform

Impulse (salt & pepper)


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21

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27Phc hi nh: Loi b nhiu (tt)

Lc thng k c th t Median filter Max and min filter Midpoint filterAlpha trimmed mean filter

Loi b nhiu trong min tn s Tt cho loi b cc nhiu nh k

Band reject filters Ideal band reject filter Butterworth band reject filter Gaussian band reject filter


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27Phn on nh: ct ngng

Vn phn onTm quan trng ca phn on

Vn ny sinh vi ct ngng

C s thut ton ct ngng ton cc

Ct ngng mt gi tr v ct ngng nhiugi tr

C s ct ngng tng thch


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27X l Morphological

Cc khi nim v thao tc morphological cbn

Hitting, fitting and missing

Erosion and dilation Opening and closing

Cc thut ton Morphological

Boundary extraction Region filling


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27Your Exam!

Follows the same format as previous years4 questions in each section, attempt any 3

questions from each section

Read the questions carefullyDO THE PAST PAPERS available online


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27Tm tt

C hai vic chnh trong x l nh Ci thin nh hin th cho con ngi

Chun b nh cho my x l


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27

Thank you very

much for listeningand good luck in

your exams

vn imageprocessing13 revision

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