Feature extraction and image processing for computer vision
Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding...
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| Main Authors | , |
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| Format | eBook Book |
| Language | English |
| Published |
London
Academic Press
2020
Elsevier Science & Technology |
| Edition | 4 |
| Subjects | |
| Online Access | Get full text |
| ISBN | 0128149760 9780128149768 |
| DOI | 10.1016/C2017-0-02153-5 |
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| Summary: | Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. 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 link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. |
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| Bibliography: | "Academic Press is an imprint of Elsevier"--T.p. verso Previous edition: 2012 Includes bibliographical references and index |
| ISBN: | 0128149760 9780128149768 |
| DOI: | 10.1016/C2017-0-02153-5 |