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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Bibliographic Details
Main Authors Nixon, Mark S., Aguado, Alberto S.
Format eBook Book
LanguageEnglish
Published London Academic Press 2020
Elsevier Science & Technology
Edition4
Subjects
Online AccessGet full text
ISBN0128149760
9780128149768
DOI10.1016/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.
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