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文章基本信息

  • 标题:Texture features from Chaos Game Representation Images of Genomes
  • 本地全文:下载
  • 作者:Professor Vrinda V Nair ; Miss Nisha N. S. ; Miss Vidya S.
  • 期刊名称:International Journal of Image Processing (IJIP)
  • 电子版ISSN:1985-2304
  • 出版年度:2013
  • 卷号:7
  • 期号:2
  • 页码:183-190
  • 出版社:Computer Science Journals
  • 摘要:The proposed work investigates the effectiveness of coarse measures of the Chaos Game Representation (CGR) images in differentiating genomes of various organisms. Major work in this area is seen to focus on feature extraction using Frequency Chaos Game Representation (FCGR) matrices. Although it is biologically significant, FCGR matrix has an inherent error which is associated with the insufficient computing as well as the screen resolutions. Hence the CGR image is converted to a texture image and corresponding feature vectors extracted. Features such as the texture properties and the subsequent wavelet coefficients of the texture image are used. Our work suggests that texture features characterize genomes well further; their wavelet coefficients yield better distinguishing capabilities.
  • 关键词:Chaos Game Representation; Texture analysis; Wavelet decomposition; Support Vector Machines
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