Image Processing, Analysis & Machine Vision — Answer Manual (4th Ed., PDF)

Complete Answer Manual for Image Processing, Analysis, and Machine Vision (4th edition) by Sonka, Hlavac, and Boyle. Covers all 16 chapters with worked solutions on image formation and sampling, spatial/FFT filtering, histogram equalization, edge and corner detection (Sobel, Canny, Harris), Hough transform, morphological operations, segmentation (thresholding, region/graph cuts, watershed), texture & color spaces, feature extraction (SIFT/SURF), classification (k-NN, Bayes, SVM), object recognition, camera calibration, geometric transforms, stereo vision, 3D reconstruction, motion estimation/optical flow, compression, and practical MATLAB/OpenCV notes—ideal for assignments and exam prep. image processing solutions, Sonka answer manual, machine vision solutions, computer vision textbook answers, segmentation solutions, edge detection Canny, Hough transform, morphological operations, histogram equalization, image filtering Gaussian median, Harris corners, SIFT SURF features, texture analysis, RGB HSV color spaces, camera calibration, geometric transformations, optical flow, stereo vision, 3D reconstruction, SVM kNN classification, OpenCV MATLAB exercises, pattern recognition solutions