文章基本信息

标题：Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features
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作者：Naeem Qaiser ; Mutawarra Hussain ; Amir Hussain 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：2
页码：264-270
出版社：International Journal of Computer Science and Network Security
摘要：Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analysis is used to show that the discrimination effectiveness of the features increases as a result of the proposed fusion. Preliminary simulation results have been validated experimentally through the classification and segmentation of real texture images.
关键词：Moment based texture features, Gabor energy features, Texture classification, Fisher’s criterion Texture Segmentation, Fusion