Digital Image Processing : An Algorithmic Introduction / Wilhelm Burger, Mark J. Burge.
Tipo de material:
TextoSeries Texts in Computer ScienceDetalles de publicación: London : Springer, 2022Edición: 3rd edDescripción: xxv, 943 p. : il. ; 26 cmISBN: 9783031063435Tema(s): Computer science | Image processing | Inteligencia computacionalClasificación LoC:TA1634 | B87 2022Resumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
Libro
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Biblioteca Central Ensenada | Acervo General | TA1637 B87 2022 (Browse shelf(Abre debajo)) | 1 | Disponible | ENS097603 |
Navegando Biblioteca Central Ensenada Estantes, Código de colección: Acervo General Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
| TA1634 J35 1995 Machine vision / | TA1634 J35 1995 Machine vision / | TA1634 K85 Computer vision and fuzzy-neural systems / | TA1637 B87 2022 Digital Image Processing : An Algorithmic Introduction / | TA1637 N33 2004 NETLAB : algorithms for pattern recognitions / | TA1637 R88 2016 The image processing handbook / | TA1637 S45 2010 Image processing and pattern recognition : fundamentals and techniques / |
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.
