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Texture Feature Extraction Techniques for Image Recognition (1st ed. 2020.)

Part of the Springerbriefs in Applied Sciences and Technology, Computational Intelligence series
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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.

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£49.99
Product Details
Springer
9811508534 / 9789811508530
eBook (Adobe Pdf, EPUB)
621.367
24/10/2019
English
100 pages
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