computer vision & image processing

29
1 Computer Vision & Image Processing G. Andy Chang Department of Mathematics & Statistics Youngstown State University Youngstown, Ohio

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Computer Vision & Image Processing. G. Andy Chang Department of Mathematics & Statistics Youngstown State University Youngstown, Ohio. Human Vision. Illusion. 1. Green > Red 2. Green = Red 3. Green < Red. Illusion (Human Vision). Vision System. Human Vision Qualitative - PowerPoint PPT Presentation

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Page 1: Computer Vision  &  Image Processing

1

Computer Vision &

Image Processing

G. Andy Chang

Department of Mathematics & Statistics

Youngstown State University

Youngstown, Ohio

Page 2: Computer Vision  &  Image Processing

CV & IP 2

Human Vision

Illusion

1. Green > Red2. Green = Red3. Green < Red

Page 3: Computer Vision  &  Image Processing

CV & IP 3

Illusion (Human Vision)

Page 4: Computer Vision  &  Image Processing

CV & IP 4

Vision System

Human Vision Qualitative Comparative

Computer Vision Quantitative

•320 pixels

•334 pixels

Pixel (combination of Picture & Element) is the smallest element of a display which can be assigned a color.

Page 5: Computer Vision  &  Image Processing

CV & IP 5

Old design

Wafer

•Human hair thickness is about 100 micron.

Page 6: Computer Vision  &  Image Processing

CV & IP 6

Computer Vision 564×380 Digital Image

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CV & IP 7

28=2560 ~ 255

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CV & IP 8

Original Image (564×380)8-bit Gray Scale Image (256 gray

levels)

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CV & IP 9

Image with 84 × 57 pixels(Low resolution)

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CV & IP 10

1 1 1 1 1 1 1 1 1 1 1 2 2 3 3 41 1 1 1 1 1 1 1 1 1 2 3 3 4 4 51 1 1 1 1 1 1 1 1 2 3 3 4 5 6 71 1 1 1 1 1 1 1 1 1 2 2 3 4 5 61 1 1 1 1 1 1 1 1 1 1 2 2 3 4 51 1 1 1 1 1 1 1 1 1 1 1 1 2 3 41 1 1 1 1 1 1 1 1 1 1 1 1 1 2 21 1 1 2 2 1 1 1 1 1 1 1 1 1 1 21 1 2 3 3 2 1 1 1 1 1 1 1 1 1 11 2 3 4 4 3 2 1 1 1 1 1 1 1 1 11 2 3 4 4 3 2 1 1 1 1 1 1 1 1 11 2 3 4 5 4 3 2 1 1 1 1 1 1 1 11 2 3 4 5 5 4 3 2 1 1 1 1 1 1 11 2 3 4 5 6 5 4 3 2 2 1 1 1 1 11 2 3 3 4 5 6 5 4 3 2 2 1 1 1 12 3 3 4 4 4 5 5 5 4 3 2 2 1 1 1

True Image Gray Level Bar Chart

0

1

-2

8

1 4 7

10 13 16

0

2

4

6

8

3-bit Gray Scale Image (0 – 7)

EXCEL WORKSHEET_AM

EXCEL WORKSHEET_PM

Page 11: Computer Vision  &  Image Processing

CV & IP 11

Original Image (564×380)8-bit Gray Scale Image (256 = 28 gray

levels)

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CV & IP 12

Smoothed Image

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CV & IP 13

Sharpened Image

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CV & IP 14

Inverted Image (564×380)8-bit Gray Scale Image

0 255

1 254

2 253

3 252

4 251

5 250

Page 15: Computer Vision  &  Image Processing

CV & IP 15

Object Identification

(Binary Thresholding)

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CV & IP 16

Object Identification

Page 17: Computer Vision  &  Image Processing

CV & IP 17

Object Identification

Page 18: Computer Vision  &  Image Processing

CV & IP 18

Object Identification

Page 19: Computer Vision  &  Image Processing

CV & IP 19

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CV & IP 20

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CV & IP 21

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CV & IP 22

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CV & IP 23

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CV & IP 24

 

 

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CV & IP 25

Histogram of Gray Level (Simple Setting)

0

50000

100000

150000

0 50 100 150 200 250

Gray Scale

Fre

qu

ency

Old design

Page 26: Computer Vision  &  Image Processing

CV & IP 26

Histogram of Gray Level (coallight)

0

2000

4000

6000

8000

0 50 100 150 200 250

Gray Scale

Fre

qu

ency

Old design

Page 27: Computer Vision  &  Image Processing

CV & IP 27

Oyster Size Measurement

(a) (b)

a) Original Image

b) Binary Image of Projected Area

Page 28: Computer Vision  &  Image Processing

CV & IP 28

Images of Firm and Soft Apples

Page 29: Computer Vision  &  Image Processing

CV & IP 29

Blood Cells