Digital Image Processing

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• Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER).
• Includes exercises for most chapters and provides additional supplementary
• materials and software implementations at an associated website.
• Uses ImageJ for all examples, a widely used open source imaging environment that
• can run on allmajor platforms.
• Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages.
• Presents suggested outlines for a one- or two-semester course in the preface.

1. Digital Images. - 2. ImageJ. - 3. Histograms and Image Statistics. - 4. Point Operations. - 5. Filters. - 6. Edges and Contours. - 7. Corner Detection. - 8. Finding Simple Curves. - 9. Morphological Filters. - 10. Regions in Binary Images. - 11. Automatic Thresholding. - 12. Color Images. - 13. Color Quantization. - 14. Colorimetric Color Spaces. - 15. Filters for Color Images. - 16. Edge Detection in Color Images. - 17. Edge-Preserving Smoothing Filters. - 18. Introduction to Spectral Techniques. - 19. The Discrete Fourier Transform in 2D. - 20. Geometric Operations.