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[null,"1.","Record Nr.",null,"UNINA9910254994203321"]
[null,null,"Autore",null,"Burger Wilhelm"]
[null,null,"Titolo",null,"Digital Image Processing : An Algorithmic Introduction Using Java / / by Wilhelm Burger, Mark J. Burge"]
[null,null,"Pubbl/distr/stampa",null,"London : , : Springer London : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"1-4471-6684-1"]
[null,null,"Edizione",null,"[2nd ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIII, 811 p. 413 illus., 141 illus. in color.)"]
[null,null,"Collana",null,"Texts in Computer Science, , 1868-0941"]
[null,null,"Disciplina",null,"621.367"]
[null,null,"Soggetti",null,"Optical data processing"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Computational Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Digital Images -- ImageJ -- Histograms and Image Statistics -- Point Operations -- Filters -- Edges and Contours -- Corner Detection -- Finding Simple Curves: The Hough Transform -- Morphological Filters -- Regions in Binary Images -- Automatic Thresholding -- Color Images -- Color Quantization -- Colorimetric Color Spaces -- Filters for Color Images -- Edge Detection in Color Images -- Edge-Preserving Smoothing Filters -- Introduction to Spectral Techniques -- The Discrete Fourier Transform in 2D -- The Discrete Cosine Transform (DCT) -- Geometric Operations -- Pixel Interpolation -- Image Matching and Registration -- Non-Rigid Image Matching -- Scale-Invariant Feature Transform (SIFT) -- Fourier Shape Descriptors -- Appendix A: Mathematical Symbols and Notation -- Appendix B: Linear Algebra -- Appendix C: Calculus -- Appendix D: Statistical Prerequisites -- Appendix E: Gaussian Filters -- Appendix F: JavaNotes."]
[null,null,null,"Sommario/riassunto","This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out "]
[{"$nulls":4},"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."]