Advertisement

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

Introduction

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.

Keywords

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

Industry Sectors
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Pharma
Materials & Steel
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering