Texture Feature Extraction Techniques for Image Recognition

✍ Scribed by Jyotismita Chaki, Nilanjan Dey

Publisher: Springer Singapore
Year: 2020
Tongue: English
Leaves: 109
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1st ed. 2020
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xiv
Introduction to Texture Feature (Jyotismita Chaki, Nilanjan Dey)....Pages 1-6
Statistical Texture Features (Jyotismita Chaki, Nilanjan Dey)....Pages 7-23
Structural Texture Features (Jyotismita Chaki, Nilanjan Dey)....Pages 25-41
Signal Processed Texture Features (Jyotismita Chaki, Nilanjan Dey)....Pages 43-65
Model Based Texture Features (Jyotismita Chaki, Nilanjan Dey)....Pages 67-83
Applications of Texture Features (Jyotismita Chaki, Nilanjan Dey)....Pages 85-100

✦ Subjects

Engineering; Computational Intelligence; Signal, Image and Speech Processing; Image Processing and Computer Vision

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