Texture feature extraction techniques for image recognition / Jyotismita Chaki, Nilanjan Dey.
2020
TA1654
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Details
Title
Texture feature extraction techniques for image recognition / Jyotismita Chaki, Nilanjan Dey.
Author
Chaki, Jyotismita, author.
ISBN
9789811508530 (electronic book)
9811508534 (electronic book)
9789811508523
9811508526
9811508534 (electronic book)
9789811508523
9811508526
Published
Singapore : Springer, [2020].
Language
English
Description
1 online resource (xiv, 100 pages) : illustrations.
Item Number
10.1007/978-981-15-0853-0 doi
10.1007/978-981-15-0
10.1007/978-981-15-0
Call Number
TA1654
Dewey Decimal Classification
621.36/7
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 29, 2019).
Added Author
Dey, Nilanjan, 1984- author.
Series
SpringerBriefs in applied sciences and technology. Computational intelligence.
Available in Other Form
Print version: 9789811508523
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Online Access
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Table of Contents
Introduction
Statistical Texture Features
Structural Texture Features
Signal Processed Texture Features
Model Based Texture Features
Applications of Texture Features.
Statistical Texture Features
Structural Texture Features
Signal Processed Texture Features
Model Based Texture Features
Applications of Texture Features.