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
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ALL 16 CHAPTERS COVERED
,Image Processing, Analysis, and
Machine Vision
Answer Manual
Fourth Edition
Milan Sonka
The University of Iowa, Iowa City
Vaclav Hlavac
Czech Technical University, Prague
Roger Boyle
Prifysgol Aberystwyth, Aberystwyth
January 5, 2014
,
, Contents
1 Introduction 1
2 The image, its representations and properties 2
3 The image, its mathematical and physical background 4
4 Data structures for image analysis 6
5 Image pre-processing 8
6 Segmentation I 14
7 Segmentation II 19
8 Shape representation and description 21
9 Object recognition 25
10 Image understanding 28
11 3D geometry, correspondence, 3D from intensities 31
12 Use of 3D vision 34
13 Mathematical morphology 36
14 Image data compression 39
15 Texture 42
16 Motion analysis 45
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