Feature Extraction and Image Processing for Computer Vision is popular PDF and ePub book, written by Mark Nixon in 2012-12-18, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Feature Extraction and Image Processing for Computer Vision can be Read Online from any device for your convenience.
Feature Extraction and Image Processing for Computer Vision Book PDF Summary
Feature Extraction and Image Processing for Computer Vision 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 field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation
Detail Book of Feature Extraction and Image Processing for Computer Vision PDF
- Author : Mark Nixon
- Release : 18 December 2012
- Publisher : Academic Press
- ISBN : 9780123978240
- Genre : Computers
- Total Page : 629 pages
- Language : English
- PDF File Size : 14,6 Mb
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