05006nam 22007335 450 991025499420332120220214202830.01-4471-6684-110.1007/978-1-4471-6684-9(CKB)3710000000627412(SSID)ssj0001656802(PQKBManifestationID)16438887(PQKBTitleCode)TC0001656802(PQKBWorkID)14989300(PQKB)10882218(DE-He213)978-1-4471-6684-9(MiAaPQ)EBC6315926(MiAaPQ)EBC5588394(Au-PeEL)EBL5588394(OCoLC)945632947(PPN)192770187(EXLCZ)99371000000062741220160325d2016 u| 0engurnn#008mamaatxtccrDigital Image Processing An Algorithmic Introduction Using Java /by Wilhelm Burger, Mark J. Burge2nd ed. 2016.London :Springer London :Imprint: Springer,2016.1 online resource (XXIII, 811 p. 413 illus., 141 illus. in color.)Texts in Computer Science,1868-0941Bibliographic Level Mode of Issuance: Monograph1-4471-6683-3 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.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.Texts in Computer Science,1868-0941Optical data processingSignal processingImage processingSpeech processing systemsComputational intelligenceImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Optical data processing.Signal processing.Image processing.Speech processing systems.Computational intelligence.Image Processing and Computer Vision.Signal, Image and Speech Processing.Computational Intelligence.621.367Burger Wilhelmauthttp://id.loc.gov/vocabulary/relators/aut477301Burge Mark Jauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254994203321Digital Image Processing2102223UNINA