Digital Image Processing : An Algorithmic Introduction Using Java / / by Wilhelm Burger, Mark J. Burge
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| Autore: |
Burger Wilhelm
|
| Titolo: |
Digital Image Processing : An Algorithmic Introduction Using Java / / by Wilhelm Burger, Mark J. Burge
|
| Pubblicazione: | London : , : Springer London : , : Imprint : Springer, , 2016 |
| Edizione: | 2nd ed. 2016. |
| Descrizione fisica: | 1 online resource (XXIII, 811 p. 413 illus., 141 illus. in color.) |
| Disciplina: | 621.367 |
| Soggetto topico: | Optical data processing |
| Signal processing | |
| Image processing | |
| Speech processing systems | |
| Computational intelligence | |
| Image Processing and Computer Vision | |
| Signal, Image and Speech Processing | |
| Computational Intelligence | |
| Persona (resp. second.): | BurgeMark J |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di contenuto: | 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. |
| 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 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. |
| Titolo autorizzato: | Digital Image Processing |
| ISBN: | 1-4471-6684-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910254994203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Texts in Computer Science, . 1868-0941