Texture Feature Extraction Techniques for Image Recognition

  • Jyotismita Chaki
  • Nilanjan Dey

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jyotismita Chaki, Nilanjan Dey
    Pages 1-6
  3. Jyotismita Chaki, Nilanjan Dey
    Pages 7-23
  4. Jyotismita Chaki, Nilanjan Dey
    Pages 25-41
  5. Jyotismita Chaki, Nilanjan Dey
    Pages 43-65
  6. Jyotismita Chaki, Nilanjan Dey
    Pages 67-83
  7. Jyotismita Chaki, Nilanjan Dey
    Pages 85-100

About this book


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.


Texture Features Markov Model Wavelet Transform Statistical Texture Features Walsh Transform

Authors and affiliations

  • Jyotismita Chaki
    • 1
  • Nilanjan Dey
    • 2
  1. 1.School of Information Technology and EngineeringVellore Institute of TechnologyVelloreIndia
  2. 2.Department of Information TechnologyTechno India College of TechnologyKolkataIndia

Bibliographic information

  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-981-15-0852-3
  • Online ISBN 978-981-15-0853-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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