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  • 标题:Rotation Invariant Texture Classification using Fuzzy Local Texture Patterns
  • 本地全文:下载
  • 作者:E. M. Srinivasan ; Dr. K. Ramar ; Dr. A. Suruliandi
  • 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:III
  • 期号:I – Ver 4
  • 出版社:Ayushmaan Technologies
  • 摘要:Texture is one of the basic image properties, which is u seful 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
  • 关键词:Textu re Analysis; Texture Description; Texture Classification; ;Fuzzy Local Texture Patterns; Rotation Invariance
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