The fourth edition of, which celebrates the book?s 40th anniversary, continues its cutting-edgefocus on contemporary developments in all mainstream areas of image processing. It focuses on material that isfundamental and has a broad scope of application. 1. Coverage of graph cuts and their application to segmentation. 2. A discussion of super pixels and their use in region segmentation. 3. 425 New images, 135 New drawings, 220 New exercises and 120 Matlab projects. 4. Two New chapters: a. A chapter dealing with active contours for image segmentation, including snakes and level sets. b. A chapter that brings together wavelets, several New transforms and many of the image transforms that were scattered throughout the book. 5. A complete update of the image pattern recognition chapter to incorporate New material on deep neural networks, backpropagation, deep learning and especially, deep convolutional neural networks. 6. Coverage of feature extraction, including the Scale Invariant Feature Transform (SIFT, maximally stable extremal regions (MSERs) and corner detection. 7. Coverage of the fundamentals of spatial filtering, image transforms and finite differences with a focus on edge detection. Chapter 1 Introduction Chapter 2 Digital Image FundamentalsChapter 3 Intensity Transformations and Spatial FilteringChapter 4 Filtering in the Frequency DomainChapter 5 Image Restoration and ReconstructionChapter 6 Wavelet and Other Image TransformsChapter 7 Colour Image ProcessingChapter 8 Image Compression and WatermarkingChapter 9 Morphological Image ProcessingChapter 10 Image Segmentation I: Edge Detection,Chapter 11 Image Segmentation II: Active Contours: Snakes and Level SetsChapter 12 Feature ExtractionChapter 13 Image Pattern Classification.
