1. Lecture 17
Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

2. Psuedocolor Processing
Produce RGB image (usually) from gray levels.
Also possible to transform a number of monochrome images.

3. Color Image Processing
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4. Color Image Processing
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5. Typical Transformations
Sinusiodal functions with differing start points

6. Color Image Processing
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7. Color Image Processing
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8. Chapter 1: Introduction

9. Chapter 1: Introduction

10. Color Image Processing
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11. Color Image Processing
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12. Color Transformation

13. Color Image Processing
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14. Color Transformations (2)
Also possible in
CMYK components
HSI components

15. Color Image Processing
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16. Modify through intensity

17. Color Image Processing
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18. The Wheel of Hues
Notice how complementary colors are opposite one another

19. Color Image Processing
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20. Effect of Complementary Transformation
Notice difference in RGB vs. HSI model

21. Color Image Processing
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22. Color Slicing

23. Color Image Processing
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24. Color Image Processing
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25. Color Image Processing
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26. Histogram Processing
Done to intensity component. Should not be done to RGB components.
Next figure
Histogram equalization to intensity
Then increased saturation

27. Color Image Processing
Chapter 6
Color Image Processing

28. Smoothing and Sharpening
Smoothing filters (like averaging or low pass)
Or sharpening (like Laplacian or high pass)
Are usually done on R,G,B components
Or on intensity…with slightly different results

29. Color Image Processing
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30. Color Image Processing
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31. Color Image Processing
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32. Color Image Processing
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33. Color Segmentation As done in HSI space Color represented by hue image
Saturation used to perform masking
Intensity contains no color information and not used much for segmentation

34. Color Image Processing
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35. Color Segmentation Done with distances in RGB space
Either Euclidean or maximum are easy to do
In fact, looking at this example, my thought was, oh, that’s what you want!

36. Color Image Processing
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Color Image Processing

37. Color Image Processing
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38. Color Noise Handled naturally in RGB mode.
Standard color models make sense

39. Color Image Processing
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40. Color Image Processing
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41. Color Image Processing
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42. Color Image Processing
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43. Color Image Processing
Chapter 6
Color Image Processing