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Texture feature extraction technique...
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Chaki, Jyotismita.
Texture feature extraction techniques for image recognition
Record Type:
Electronic resources : Monograph/item
Title/Author:
Texture feature extraction techniques for image recognitionby Jyotismita Chaki, Nilanjan Dey.
Author:
Chaki, Jyotismita.
other author:
Dey, Nilanjan.
Published:
Singapore :Springer Singapore :2020.
Description:
xiv, 100 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Image analysis.
Online resource:
https://doi.org/10.1007/978-981-15-0853-0
ISBN:
9789811508530$q(electronic bk.)
Texture feature extraction techniques for image recognition
Chaki, Jyotismita.
Texture feature extraction techniques for image recognition
[electronic resource] /by Jyotismita Chaki, Nilanjan Dey. - Singapore :Springer Singapore :2020. - xiv, 100 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
Introduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features.
The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.
ISBN: 9789811508530$q(electronic bk.)
Standard No.: 10.1007/978-981-15-0853-0doiSubjects--Topical Terms:
190419
Image analysis.
LC Class. No.: TA1654
Dewey Class. No.: 621.367
Texture feature extraction techniques for image recognition
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Introduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features.
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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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Intelligent Technologies and Robotics (Springer-42732)
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電子館藏
1圖書
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EB TA1654 .C435 2020 2020
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1 records • Pages 1 •
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https://doi.org/10.1007/978-981-15-0853-0
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