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" Digital Image Processing "
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BL
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| Record Number
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809611
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| Doc. No
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16,O04b623627
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| Main Entry
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Jähne, Bernd, 1953-
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| Title & Author
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Digital Image Processing : An Algorithmic Introduction Using Java
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| Edition Statement
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2nd ed. 2016
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| Series Statement
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Texts in Computer Science,
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| Page. NO
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Online-Ressource
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| ISBN
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9781447166849
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: 1447166841
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: 9781447166832
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: 1447166833
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| Notes
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Lizenzpflichtig
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| Abstract
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This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated new edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content and improved teaching material. Topics and features: Contains new chapters on automatic thresholding, filters and edge detection for color images, edge-preserving smoothing filters, non-rigid image matching, and Fourier shape descriptors. Includes exercises at the end of every chapter, and provides additional supplementary material at an associated website. Uses ImageJ for all examples, a widely used open source imaging system that can run on all major platforms and be easily ported to other programming languages. Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs. Presents suggested outlines for a one- or two-semester course in the preface. Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.
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| Subject
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Computer vision.
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Engineering.
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Computer science
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Image processing
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Computational intelligence
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Computer vision
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Engineering
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Bildverarbeitung
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| Dewey Classification
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004
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| LC Classification
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TA1637-1638
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| NLM classification
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004sdnb
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31.9b30sswd
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