This book is an essential guide to the implementation of image
processing and computer vision techniques, with tutorial
introductions and sample code in Matlab. Algorithms are presented
and fully explained to enable complete understanding of the methods
and techniques demonstrated. As one reviewer noted, "The main
strength of the proposed book is the exemplar code of the
algorithms."
Fully updated with the latest developments in feature
extraction, including expanded tutorials and new techniques, this
new edition contains extensive new material on Haar wavelets,
Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object
detection and tracking, development of symmetry operators, LBP
texture analysis, Adaboost, and a new appendix on color models.
Coverage of distance measures, feature detectors, wavelets, level
sets and texture tutorials has been extended.
Named a 2012 Notable Computer Book for Computing Methodologies by
"Computing Reviews"Essential reading for engineers and students
working in this cutting-edge fieldIdeal module text and background
reference for courses in image processing and computer visionThe
only currently available text to concentrate on feature extraction
with working implementation and worked through derivation
General
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