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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