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Texture Feature Extraction Techniques for Image Recognition

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Texture Feature Extraction Techniques for Image Recognition 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.

About This Edition

ISBN: 9789811508523
Publication date:
Author: Jyotismita Chaki, Nilanjan Dey
Publisher: Springer Verlag, Singapore
Format: Paperback
Pagination: 100 pages
Series: SpringerBriefs in Computational Intelligence
Genres: Artificial intelligence
Electronics engineering
Digital signal processing (DSP)
Computer vision