Feature extraction & image processing for computer vision [recurso electrónico] / Mark S. Nixon, Alberto S. Aguado.

Por: Nixon, Mark SColaborador(es): Aguado, Alberto STipo de material: TextoTextoDetalles de publicación: Oxford : Academic Press, c2012Edición: 3rd edDescripción: 1 online resource : illISBN: 9780123978240 (electronic bk.); 0123978246 (electronic bk.)Otro título: Feature extraction and image processing for computer visionTema(s): Computer vision | Computer vision -- Mathematics | Pattern recognition systems | Image processing -- Digital techniques | COMPUTERS / Computer Vision & Pattern Recognition | Bildverarbeitung | Maschinelles SehenGénero/Forma: Electronic books.Formatos físicos adicionales: Print version:: Feature extraction & image processing for computer vision.Clasificación CDD: 006.37 Clasificación LoC:TA1634 | .N59 2012Recursos en línea: Libro electrónico ScienceDirectTexto Resumen: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.
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Libro Electrónico Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos TA1634 .N59 2012 (Browse shelf(Abre debajo)) 1 No para préstamo 380512-2001

This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.

Description based on print version record.

Includes bibliographical references and index.

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