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  • 标题:A Novel 5x5 Edge Detection Operator for BloodVessel Images
  • 本地全文:下载
  • 作者:Toufic El-Arwadi ; Ali El-Zaart
  • 期刊名称:Current Journal of Applied Science and Technology
  • 印刷版ISSN:2457-1024
  • 出版年度:2015
  • 卷号:11
  • 期号:3
  • 页码:1-10
  • 语种:English
  • 出版社:Sciencedomain International
  • 摘要:Background: Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis.Aims: Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges.Methodology: In this paper a new 5x5 edge detection masks are proposed based on the finite difference method.Results: The proposed method is applied on a set of blood vessel images and we obtained good results in comparison with 5x5 Sobel mask.
  • 关键词:Blood vessel detection;edge detection;5xr5 mask operator;Taylor’s expansion
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