Texture feature extraction techniques for image recognition /
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Author / Creator: | Chaki, Jyotismita, author. |
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Imprint: | Singapore : Springer, [2020]. |
Description: | 1 online resource (xiv, 100 pages) : illustrations (some color). |
Language: | English |
Series: | SpringerBriefs in applied sciences and technology, Computational intelligence, 2625-3704 SpringerBriefs in applied sciences and technology. Computational intelligence, |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12602316 |
Summary: | The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas. |
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Physical Description: | 1 online resource (xiv, 100 pages) : illustrations (some color). |
Bibliography: | Includes bibliographical references. |
ISBN: | 9789811508530 9811508534 9789811508523 9811508526 |
ISSN: | 2625-3704 |