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文章基本信息

  • 标题:Research on the Wood Cell Contour Extraction Method Based on Image Texture and Gray-scale Information
  • 本地全文:下载
  • 作者:Zhao Lei ; Wang Jianhua ; Li Xiaofeng
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:6
  • 页码:65-74
  • DOI:10.14257/ijsip.2014.7.6.06
  • 出版社:SERSC
  • 摘要:The traditional Snake model and GVF-Snake model set high requirements on noise and initial contour in wood cell contour extraction. To solve this problem, on the premise of considering the image texture and gray-scale information, the area information is directly introduced into the active contour extraction model through force equilibrium equation. Experiments show that the contour extracted with this method is not only more close to real cell contour, but also improved in anti-noise property. In particular, in the convergence of high noise and deep sunken areas, it has some advantages not found in other traditional methods.
  • 关键词:Snake model; image texture; wood cells
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