000			03018cam a2200313 a 4500
008			090520s2012 enka b 001 0 eng
020			_a0123725380
020			_a9780123725387
035			_a(Sirsi) u8387
040			_aEG-CaNU _cEG-CaNU _dEG-CaNU
042			_ancode
082	0	4	_a006.37 _2 22
100	1		_aNixon, Mark S _92073
245	1		_aFeature extraction & image processing for computer vision / _c Mark S. Nixon, Alberto S. Aguado
246	3		_a Feature extraction and image processing for computer vision
250			_a3rd ed.
260			_aOxford : _b Academic Press, _c 2012.
300			_axvii, 609 p. : _b ill. ; _c 24 cm.
500			_aPrevious ed.: Oxford: Newnes, 2002.
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1 : Introduction -- Chapter 2 : Images, sampling, and frequency domain processing -- Chapter 3 : Basic image processing operations -- Chapter 4 : Low:level feature extraction (including edge detection) -- Chapter 5 : High:level feature extraction: fixed shape matching -- Chapter 6 : High:level feature extraction: deformable shape analysis -- Chapter 7 : Object description -- Chapter 8 : Introduction to texture description, segmentation, and classification -- Chapter 9 : Moving object detection and description -- Chapter 10 : Appendix 1: Camera geometry fundamentals -- Chapter 11 : Appendix 2: Least squares analysis -- Chapter 12 : Appendix 3: Principal components analysis -- Chapter 13 : Appendix 4: Color images -- Index.
520			_aThis 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. This title is an essential reading for engineers and students working in this cutting edge field. It is an ideal module text and background reference for courses in image processing and computer vision. This is the only currently-available text to concentrate on feature extraction with working implementation and worked through derivation
650		0	_aComputer vision _915442
650		0	_aComputer vision _x Mathematics. _915443
650		0	_aPattern recognition systems. _915444
650		0	_aImage processing _x Digital techniques _915445
700	1		_aAguado, Alberto S. _92077
596			_a1
999			_c7271 _d7271