Chaki J., Dey N. Texture Feature Extraction Techniques for Image Recognition

Springer, 2020. — 109 p. — (SpringerBriefs in Applied Sciences and Technology: Computational Intelligence). — ISBN 978-981-15-0852-3.Методы извлечения текстурных элементов для распознавания изображенийThe 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.Introduction to Texture Feature
Statistical Texture Features
Structural Texture Features
Signal Processed Texture Features
Model Based Texture Features
Applications of Texture Features