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Lecture 17

Lecture 17. Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002. Psuedocolor Processing. Produce RGB image (usually) from gray levels. Also possible to transform a number of monochrome images. Chapter 6 Color Image Processing. Chapter 6 Color Image Processing.

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Lecture 17

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  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. Chapter 6 Color Image Processing

  4. Chapter 6 Color Image Processing

  5. Typical Transformations Sinusiodal functions with differing start points

  6. Chapter 6 Color Image Processing

  7. Chapter 6 Color Image Processing

  8. Chapter 1: Introduction

  9. Chapter 1: Introduction

  10. Chapter 6 Color Image Processing

  11. Chapter 6 Color Image Processing

  12. Color Transformation

  13. Chapter 6 Color Image Processing

  14. Color Transformations (2) Also possible in • CMYK components • HSI components

  15. Chapter 6 Color Image Processing

  16. Modify through intensity

  17. Chapter 6 Color Image Processing

  18. The Wheel of Hues Notice how complementary colors are opposite one another

  19. Chapter 6 Color Image Processing

  20. Effect of Complementary Transformation Notice difference in RGB vs. HSI model

  21. Chapter 6 Color Image Processing

  22. Color Slicing

  23. Chapter 6 Color Image Processing

  24. Chapter 6 Color Image Processing

  25. Chapter 6 Color Image Processing

  26. Histogram Processing Done to intensity component. Should not be done to RGB components. Next figure • Histogram equalization to intensity • Then increased saturation

  27. 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. Chapter 6 Color Image Processing

  30. Chapter 6 Color Image Processing

  31. Chapter 6 Color Image Processing

  32. Chapter 6 Color Image Processing

  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. Chapter 6 Color Image Processing

  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. Chapter 6 Color Image Processing

  37. Chapter 6 Color Image Processing

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

  39. Chapter 6 Color Image Processing

  40. Chapter 6 Color Image Processing

  41. Chapter 6 Color Image Processing

  42. Chapter 6 Color Image Processing

  43. Chapter 6 Color Image Processing

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