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" Digital image processing : "
Wilhelm Burger, Mark James Burge.
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BL
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| Record Number
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809610
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| Doc. No
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b623626
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| Main Entry
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Burger, Wilhelm
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| Title & Author
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Digital image processing : : an algorithmic introduction using Java /\ Wilhelm Burger, Mark James Burge.
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| Edition Statement
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Second edition.
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| Series Statement
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Texts in computer science,
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| Page. NO
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1 online resource (xxiii, 811 pages) :: illustrations (some color)
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| ISBN
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9781447166849
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: 1447166841
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: 1447166833
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: 9781447166832
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9781447166832
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Digital Images -- ImageJ -- Histograms and Image Statistics -- Point Operations -- Filters -- Edges and Contours -- Corner Detection -- Finding Simple Curves: The Hough Transform -- Morphological Filters -- Regions in Binary Images -- Automatic Thresholding -- Color Images -- Color Quantization -- Colorimetric Color Spaces -- Filters for Color Images -- Edge Detection in Color Images -- Edge-Preserving Smoothing Filters -- Introduction to Spectral Techniques -- The Discrete Fourier Transform in 2D -- The Discrete Cosine Transform (DCT) -- Geometric Operations -- Pixel Interpolation -- Image Matching and Registration -- Non-Rigid Image Matching -- Scale-Invariant Feature Transform (SIFT) -- Fourier Shape Descriptors -- Appendix A: Mathematical Symbols and Notation -- Appendix B: Linear Algebra -- Appendix C: Calculus -- Appendix D: Statistical Prerequisites -- Appendix E: Gaussian Filters -- Appendix F: JavaNotes.
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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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Image processing-- Digital techniques.
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Java (Computer program language)
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Image processing-- Digital techniques.
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Java (Computer program language)
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Applied Physics.
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| Subject
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Engineering Applied Sciences.
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| Dewey Classification
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006.6/633
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| LC Classification
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TA1637.B885 2016eb
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| Added Entry
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Burge, Mark
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