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  • 标题:Texture Classification Based on Random Threshold Vector Technique Copyright -->
  • 本地全文:下载
  • 作者:B.V. Ramana Reddy ; M.Radhika Mani ; B.Sujatha
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2010
  • 卷号:5
  • 期号:1
  • 出版社:SERSC
  • 摘要:A new feature set derived from the fractal geometry, called the random threshold vector (RTV) is proposed for texture analysis. The RTV is computed for different run length entropy dimensions. The run length entropy dimensions are calculated based on different thresholds. To test the rotationally invariant feature, the run length entropies are calculated in different directions. The experimental results show that the RTV contains great discriminatory information needed for a successful classification.
  • 关键词:Rotation invariant; Feature set; Threshold; Binary image; Fractal geometry; Run length; Entropy;dimensions.
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