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Overview of Texture Analysis

Overview of Texture Analysis
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Author(s): Izem Hamouchene (LRIA Laboratory, University of Science and Technology Houari Boumediene, Algeria)and Saliha Aouat (LRIA Laboratory, University of Science and Technology Houari Boumediene, Algeria)
Copyright: 2018
Pages: 24
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch009

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Abstract

Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods. Each approach is reviewed according to its classification. Many methods have been developed to extract textural features from an image, the authors will talk about the most famous methods and used of texture features extraction with examples and they will give their critics about them. A discussion of these texture methods concludes this study.

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