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.
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.

Texture Feature Extraction Techniques for Image Recognition

Texture Feature Extraction Techniques for Image Recognition
eBook(1st ed. 2020)
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Product Details
ISBN-13: | 9789811508530 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 10/24/2019 |
Series: | SpringerBriefs in Applied Sciences and Technology |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 27 MB |
Note: | This product may take a few minutes to download. |