Texture Feature Extraction Techniques for Image Recognition
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Beschreibung
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.
Provides details of the need for image shape features in CBIR Highlights different texture extraction methods, like statistical, structural, model-based and signal-processed Addresses various applications of image analysis using texture feature
Autor*in
Jyotismita Chaki
Themen in »Texture Feature Extraction Techniques for Image Recognition«
Texture Features Markov Model Wavelet Transform Statistical Texture Features Walsh Transform
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Details
ISBN: 9789811508530
Verlag: Springer Singapore
Erscheinung: 24.10.2019