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Record ID harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:424556495:3256
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:424556495:3256?format=raw

LEADER: 03256cam a2200313 a 4500
001 012573819-6
005 20100813104326.0
008 090910s2010 njua b 001 0 eng
010 $a 2009035856
015 $aGBA993104$2bnb
016 7 $a015376677$2Uk
020 $a9780470404614 (cloth)
020 $a0470404612 (cloth)
035 0 $aocn319499634
040 $aDLC$cDLC$dBTCTA$dUKM$dC#P$dBWX$dYDXCP$dCDX$dDLC
050 00 $aTA1637$b.S4744 2010
082 00 $a621.36/7$222
100 1 $aShih, Frank Y.
245 10 $aImage processing and pattern recognition :$bfundamentals and techniques /$cFrank Y. Shih.
260 $aPiscataway, NJ :$bIEEE Press ;$aHoboken, N.J. :$bWiley,$cc2010.
300 $axii, 537 p. :$bill. ;$c25 cm.
504 $aIncludes bibliographical references and index.
520 $a"Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics."--Publisher's website.
505 0 $aPart 1: Fundamentals. Introduction ; Mathematical preliminaries ; Image enhancement ; Mathematical morphology ; Image segmentation ; Distance transformation and shortest path planning ; Image representation and description ; Feature extraction ; Pattern recognition. -- Part 2: Applications. Face image processing and analysis ; Document image processing and classification ; Image watermarking ; Image steganography ; Solar image processing and analysis.
650 0 $aImage processing.
650 0 $aSignal processing.
650 0 $aPattern recognition systems.
988 $a20100922
906 $0DLC