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文章基本信息

  • 标题:Technologies in Texture Analysis – A Review
  • 本地全文:下载
  • 作者:Tuhin Utsab Paul ; Pranavesh Banerjee ; Anannya Mukherjee
  • 期刊名称:Current Journal of Applied Science and Technology
  • 印刷版ISSN:2457-1024
  • 出版年度:2015
  • 卷号:13
  • 期号:6
  • 页码:1-21
  • 语种:English
  • 出版社:Sciencedomain International
  • 摘要:Texture analysis is one of the promising field of digital image processing. The main target of texture analysis or recognition is to understand, process and model texture, and ultimately simulate human visual learning process using different computer technologies, which are generally done through different texture analysis methods like spatial method, structural method, statistical method. In this paper, we had analyzed the different problem areas in this field, to highlight the gap or shortcomings in technology and the possible ways to bridge those gaps in technology.
  • 关键词:Image processing;image segmentation;texture recognition;color image processing;appearance based modeling;bidirectional texture;pulse function;pulse image processing;BTF;neural networks
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