| Titre : | Feature Extraction & Image Processing | | Type de document : | texte imprimé | | Auteurs : | Mark S. Nixon, Auteur ; Alberto S. Aguado, Auteur | | Mention d'édition : | 2nd. ed. | | Editeur : | Amsterdam,Boston,Heidelberg... : Elsevier | | Année de publication : | 2008 | | Importance : | 406 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 24,3 cm. | | ISBN/ISSN/EAN : | 978-0-12-372538-7 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | * Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and new demonstrations
Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web.
Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.
The new edition includes:
* New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models
* Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments)
* Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and solutions | | Note de contenu : | Table of Contents
Chapter 1 Introduction
Chapter 2 Images, sampling and frequency domain processing
Chapter 3 Basic image processing operations
Chapter 4 Low-level feature extraction (including edge detection)
Chapter 5 Feature extraction by shape matching
Chapter 6 Flexible shape extraction (snakes and other technique
Chapter 7 Object description
Chapter 8 Introduction to texture description, segmentation and classification
Chapter 9 Appendix 1: Example worksheets
Chapter 10 Appendix 2: Camera geometry fundamentals
Chapter 11 Appendix 3: Least squares analysis
Chapter 12 Appendix 4: Principal components analysis
Index
|
Feature Extraction & Image Processing [texte imprimé] / Mark S. Nixon, Auteur ; Alberto S. Aguado, Auteur . - 2nd. ed. . - Amsterdam,Boston,Heidelberg... : Elsevier, 2008 . - 406 p. : couv. ill. en coul., ill. ; 24,3 cm. ISBN : 978-0-12-372538-7 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | * Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and new demonstrations
Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web.
Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.
The new edition includes:
* New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models
* Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments)
* Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and solutions | | Note de contenu : | Table of Contents
Chapter 1 Introduction
Chapter 2 Images, sampling and frequency domain processing
Chapter 3 Basic image processing operations
Chapter 4 Low-level feature extraction (including edge detection)
Chapter 5 Feature extraction by shape matching
Chapter 6 Flexible shape extraction (snakes and other technique
Chapter 7 Object description
Chapter 8 Introduction to texture description, segmentation and classification
Chapter 9 Appendix 1: Example worksheets
Chapter 10 Appendix 2: Camera geometry fundamentals
Chapter 11 Appendix 3: Least squares analysis
Chapter 12 Appendix 4: Principal components analysis
Index
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