000			02179nam a22003378i 4500
001			CR9781139168229
003			UkCbUP
005			20200124160247.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			111007s2010||||enk o ||1 0|eng|d
020			_a9781139168229 (ebook)
020			_z9780521169813 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTA1634 _b.S69 2010
082	0	0	_a006.3/7 _221
100	1		_aSnyder, Wesley E., _eauthor.
245	1	0	_aMachine vision / _cWesley Snyder and Hairong Qi.
250			_aPaperfback edition.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xviii, 433 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.
650		0	_aComputer vision.
700	1		_aQi, Hairong, _d1970- _eauthor.
776	0	8	_iPrint version: _z9780521169813
856	4	0	_uhttps://doi.org/10.1017/CBO9781139168229
999			_c519124 _d519122