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Digital Image Processing

Digital Image Processing. 6 Color Image Processing. Preview. Two factors Color is power descriptor that often simplifies object identification and extraction from a scene. Humans can discern thousands of colors. Two areas Full-color processing Pseudo-color processing Two methods

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Digital Image Processing

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  1. Digital Image Processing 6 Color Image Processing

  2. Preview • Two factors • Color is power descriptor that often simplifies object identification and extraction from a scene. • Humans can discern thousands of colors. • Two areas • Full-color processing • Pseudo-color processing • Two methods • Similar with the method for the gray-level images • Specially for color images

  3. 6.1 Color fundamentals • Color spectrum Violet, blue, green, yellow, orange and red

  4. 6.1 Color fundamentals • Wavelength

  5. 6.1 Color fundamentals • Three colors absorbed by cone of human eyes 65% for red, 33% for green and 2% for blue

  6. 6.1 Color fundamentals • Primary colors

  7. 6.1 Color fundamentals • Secondary colors

  8. 6.1 Color fundamentals • Color characteristics • Brightness • Hue • Saturation • Tristimulus

  9. 6.1 Color fundamentals • Chromaticity diagram

  10. 6.2 Color model • The RGB color model

  11. 6.2 Color model • The RGB color model

  12. 6.2 Color model • The RGB safe color

  13. 6.2 Color model • The CMY and CMYK model • Cyan • Magenta • Yellow • Black • The HIS color model • Hue • Saturation • Intensity

  14. 6.3 Pseudo-color image processing • Intensity slicing

  15. 6.3 Pseudo-color image processing

  16. 6.3 Pseudo-color image processing

  17. 6.3 Pseudo-color image processing

  18. 6.3 Pseudo-color image processing • Gray level to color transformation

  19. 6.3 Pseudo-color image processing

  20. 6.3 Pseudo-color image processing

  21. 6.3 Pseudo-color image processing

  22. 6.3 Pseudo-color image processing

  23. 6.4 Basics of full-color image processing • Two classes of processing methods • Process each component image individually • Work with color pixels directly • Two conditions for vector-based processing • Vectors and scalar • Independent

  24. 6.5 Color transformation • Formulation

  25. 6.5 Color transformation

  26. 6.5 Color transformation • Color complements

  27. 6.5 Color transformation

  28. 6.5 Color transformation • Color slicing

  29. 6.5 Color transformation

  30. 6.5 Color transformation • Tone and color correction

  31. 6.5 Color transformation

  32. 6.5 Color transformation • Histogram processing

  33. 6.6 Smoothing and sharpening • Color image smoothing

  34. 6.6 Smoothing and sharpening

  35. 6.6 Smoothing and sharpening

  36. 6.6 Smoothing and sharpening • Color image sharpening

  37. 6.7 Color segmentation • Segmentation in HIS color space

  38. 6.7 Color segmentation • Segmentation in RGB vector space

  39. 6.7 Color segmentation

  40. 6.7 Color segmentation • Color edge detection

  41. 6.8 Noise in color images

  42. 6.8 Noise in color images

  43. 6.8 Noise in color images

  44. 6.9 Color image compression

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