Texture feature extraction techniques for image recognition /

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Bibliographic Details
Author / Creator:	Chaki, Jyotismita, author.
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:	Image analysis. Image processing -- Digital techniques. Image analysis. Image processing -- Digital techniques.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12602316

Hidden Bibliographic Details
Other authors / contributors:	Dey, Nilanjan, 1984- author.
ISBN:	9789811508530 9811508534 9789811508523 9811508526
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed October 29, 2019).
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.
Other form:	Print version: 9811508526 9789811508523
Standard no.:	10.1007/978-981-15-0853-0 10.1007/978-981-15-0

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