000			02547cam a2200385 a 4500
005			20250930135326.0
008			140314s2012 enkaf bi 001 0 eng c
020			_a9780123965493 (pbk.) _cRM262.16
020			_a0123965497 (pbk.)
039		9	_a201408211433 _blan _c201408181243 _drasyilla _y03-14-2014 _zrasyilla
040			_aUKMGB _beng _cUKMGB _dBTCTA _dYDXCP _dOCLCO _dBWX _dSINTU _dIXA _dCDX _dDLC _dUKM
090			_aTA1634.N537 2012 3
090			_aTA1634 _b.N537 2012
100	1		_aNixon, Mark S.
245	1	0	_aFeature extraction & image processing for computer vision / _cMark S. Nixon, Alberto S. Aguado.
246	1	3	_aFeature extraction and image processing for computer vision.
250			_a3rd ed.
260			_aOxford : _bAcademic Press, _c2012.
300			_axvii, 609 p., [2] p. of plates : _bill. (some col.) ; _c24 cm.
504			_aIncludes bibliographical references and 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-- _cSource other than Library of Congress.
650		0	_aComputer vision.
650		0	_aComputer vision _xMathematics.
650		0	_aPattern recognition systems.
650		0	_aImage processing _xDigital techniques. _959990
700	1		_aAguado, Alberto S.
907			_a.b15848115 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kTA1634.N537 2012 3
914			_avtls003553624
990			_arab
991			_aFakulti Teknologi dan Sains Maklumat
998			_al _b2014-01-03 _cm _da _feng _genk _y0 _z.b15848115
999			_c564770 _d564770