文章基本信息

标题：Rotation Invariant Texture Classification using Fuzzy Local Texture Patterns
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作者：E. M. Srinivasan ; Dr. K. Ramar ; Dr. A. Suruliandi 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver4
出版社：Ayushmaan Technologies
摘要：Texture is one of the basic image properties, which is useful in many computer vision applications. Though there are many approaches to describe textures, no particular representation has been shown to give great results on a wide range of textures due to the variations in texture properties and vagueness in describing them. Fuzzy logic is an excellent tool to handle uncertainties which arise due to ambiguous or incomplete information. A fuzzy logic based texture descriptor Fuzzy Local Texture Patterns (FLTP) has been proposed in our earlier work and in this paper, rotation invariant property of the FLTP descriptor is demonstrated with texture classification experiments. The results show that the FLTP method is robust against rotational variations.es.
关键词：Texture Analysis; Texture Description; Texture Classification;Fuzzy Local Texture Patterns; Rotation Invariance