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001			8570356
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005			20150408114059.0
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008			091112e20100226njua s|||||||| 2|eng|d
020			_a9783642112157
020			_a3642112153 (Trade Cloth) _cUSD 99.00 Retail Price (Publisher)
024	3		_a9783642112157
035			_a(WaSeSS)ssj0000437989
037			_a3642112153 _b00024965
040			_aBIP US _dWaSeSS
050		4	_aTJ217.5
082	0	0	_a621.367 _222 _bMHI
100	1		_aMitchell, H. B. _eAuthor _917242
210	1	0	_aImage Fusion
245	1	0	_aImage Fusion _h[electronic resource]: _bTheories, Techniques and Applications
260			_aNew York : _bSpringer _cFeb. 2010
506			_aLicense restrictions may limit access.
520	8		_aAnnotation _bThis textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be useful to practicing engineers who wish to learn the concepts of image fusion and use them in real-life applications. The book is intended to be self-contained. No previous knowledge of image fusion is assumed, although some familiarity with elementary image processing and the basic tools of linear algebra is recommended. The book may also be used as a supplementary text for a course on advanced image processing.Apart from two preliminary chapters, the book is divided into three parts. Part I deals with the conceptual theories and ideas which underlie image fusion. Particular emphasis is given to the concept of a common representational framework and includes detailed discussions on the techniques of image registration, radiometric calibration and semantic equivalence. Part II deals with a wide range of techniques and algorithms which are in common use in image fusion. Among the topics considered are: sub-space transformations, multi-resolution analysis, wavelets, ensemble learning, bagging, boosting, color spaces, image thresholding, Markov random fields, image similarity measures and the expectation-maximization algorithm. Together Parts I and II form an integrated and comprehensive overview of image fusion. Part III deals with applications. In it several real-life examples of image fusion are examined in detail, including panchromatic sharpening, ensemble color image segmentation and the Simultaneous Truth and Performance algorithm of Warfield et al.The book is accompanied by a webpage from which supplementary material may be obtained. This includes support for course instructors and links to relevant matlab code.
521			_aScholarly & Professional _bSpringer
773		0	_tSpringerLink ebooks - Engineering (2010)
856	4	0	_uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio8570356 _zFull text available from SpringerLink ebooks - Engineering (2010)
910			_aBowker Global Books in Print record
942			_2ddc _cDVD
999			_c25957 _d260457