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001 ocn804824387
003 OCoLC
005 20171114083925.0
006 m o d
007 cr cnu---unuuu
008 120806s2012 nju ob 001 0 eng d
020 _a9781118350089
_q(electronic bk.)
020 _a1118350081
_q(electronic bk.)
020 _a9781118350072
_q(electronic bk.)
020 _a1118350073
_q(electronic bk.)
020 _a9781118350065
020 _a1118350065
020 _z9780470890844
020 _z0470890843
024 8 _a9786613836229
028 0 1 _aEB00063401
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035 _a(OCoLC)804824387
_z(OCoLC)828687982
_z(OCoLC)864910952
_z(OCoLC)961626054
_z(OCoLC)962695227
037 _aCL0500000194
_bSafari Books Online
040 _aN$T
_beng
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049 _aMAIN
050 4 _aTA1634
_b.C637 2012eb
072 7 _aCOM
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082 0 4 _a006.3/7
_223
245 0 0 _aColor in computer vision : fundamentals and applications /
_cTheo Gevers [and others].
_h[electronic resource]
260 _aHoboken, NJ :
_bWiley,
_c©2012.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
380 _aBibliography
490 1 _aWiley-IS & T series in imaging science and technology
504 _aIncludes bibliographical references and index.
520 _aWhile the field of computer vision drives many of today's digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding./ Based on the authors' intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, iColor in /iiComputer Vision /iexplains:/ ulliComputer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods/liliColor science topics such as color systems, color reflection mechanisms, color invariance, and color constancy/liliDigital image processing, including edge detection, feature extraction, image segmentation, and image transformations/liliSignal processing techniques for the development of both image processing and machine learning/liliRobotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field./li/ul.
588 0 _aPrint version record.
650 0 _aComputer vision.
650 0 _aColor vision.
650 0 _aColor photography.
650 4 _aComputer vision.
650 4 _aColor vision.
650 4 _aColor photography.
650 7 _aCOMPUTERS
_xComputer Vision & Pattern Recognition.
_2bisacsh
650 7 _aColor photography.
_2fast
_0(OCoLC)fst00868596
650 7 _aColor vision.
_2fast
_0(OCoLC)fst00868676
650 7 _aComputer vision.
_2fast
_0(OCoLC)fst00872687
650 7 _aComputer vision.
_2local
650 7 _aColor vision.
_2local
650 7 _aColor photography.
_2local
655 4 _aElectronic books.
700 1 _aGevers, Theo.
776 0 8 _iPrint version:
_tColor in computer vision.
_dHoboken, NJ : Wiley, ©2012
_z9780470890844
_w(DLC) 2012000650
_w(OCoLC)701808353
830 0 _aWiley-IS & T series in imaging science and technology.
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118350089
_zWiley Online Library
942 _2ddc
_cBK
999 _c206082
_d206082