Digital Image Processing - Part 2

This book introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples. Content 1. Colour Image Processing 1.1. Colour Fundamentals 1.2. Colour Space 1.3. Colour Image Processing 1.4. Smoothing and sharpening 1.5. Image segmentation 1.6. Colour Image Compression 1.7. Summary 1.8. References 1.9. Problems 2. Morphological Image Processing 2.1. Mathematical morphology 2.2. Dilation and Erosion 2.3. Opening and closing 2.4. Hit-or-miss 2.5. Thinning and thicken 2.6. Skeleton 2.7. Pruning 2.8. Morphological reconstruction 2.9. Summary 2.10. References and further reading 2.11. Problems 3. Image Segmentation 3.1. Introduction 3.2. Image pre-processing – correcting image defects 3.3. Thresholding 3.4. Line and edge detection 3.5. Segmentation using morphological watersheds 3.6. Region-based segmentation 3.7. Texture-based segmentation 3.8. Segmentation by active contour 3.9. Object-oriented image segmentation 3.10. Colour image segmentation 3.11. Summary 3.12. References and further reading 3.13. Problems Sisältö Colour Image Processing Colour Fundamentals Colour Space Colour Image Processing Smoothing and sharpening Image segmentation Colour Image Compression Summary References Problems Morphological Image Processing Mathematical morphology Dilation and Erosion Opening and closing Hit-or-miss Thinning and thicken Skeleton Pruning Morphological reconstruction Summary References and further reading Problems Image Segmentation Introduction Image pre-processing – correcting image defects Thresholding Line and edge detection Segmentation using morphological watersheds Region-based segmentation Texture-based segmentation Segmentation by active contour Object-oriented image segmentation Colour image segmentation Summary References and further reading Problems Obsah Colour Image Processing Colour Fundamentals Colour Space Colour Image Processing Smoothing and sharpening Image segmentation Colour Image Compression Summary References Problems Morphological Image Processing Mathematical morphology Dilation and Erosion Opening and closing Hit-or-miss Thinning and thicken Skeleton Pruning Morphological reconstruction Summary References and further reading Problems Image Segmentation Introduction Image pre-processing – correcting image defects Thresholding Line and edge detection Segmentation using morphological watersheds Region-based segmentation Texture-based segmentation Segmentation by active contour Object-oriented image segmentation Colour image segmentation Summary References and further reading Problems This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. You can download the book for free via the link below.