Synopsis
This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wider than that found in any competing book, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. This text is especially strong and up-to-date in its treatment of 3D vision, with many topics not covered at all in competing books. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples that can be worked with any general-purpose image processing software package or programming environment.
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About the Authors
Milan Sonka is Professor of Electrical and Computer Engineering at the University of Iowa. His research interests include medical image analysis, computer-aided diagnosis, and machine vision.
Vaclav Hlavac is Professor of Cybernetics at the Czech Technical University, Prague. his research interests are knowledge based image analysis, 3D model-based vision and relations between statistical and structural pattern recognition.
Roger Boyle is Professor Emeritus of Computing and was Head of the School of Computing at the University of Leeds, England where his research interests are low-level vision and pattern recognition.
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Image Processing : Analysis and Machine Vision
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Nelson Education Limited, 1998
ISBN 10: 053495393X
ISBN 13: 9780534953935
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Image Processing : Analysis and Machine Vision
Published by
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ISBN 10: 053495393X
ISBN 13: 9780534953935
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Image Processing : Analysis and Machine Vision
Published by
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ISBN 10: 053495393X
ISBN 13: 9780534953935
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Image Processing: Analysis and Machine Vision
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Image Processing: Analysis and Machine Vision
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ISBN 10: 053495393X
ISBN 13: 9780534953935
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Paperback. Condition: Good. This textbook can be used for an undergraduate course in digital image processing and analysis, or an undergraduate/graduate course in computer vision. The updated version presents new sections on compression via JPEG and MPEG, fractals, fuzzy logic recognition, hidden Markov models, Kalman filters. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Seller Inventory # GOR002019993
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