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文章基本信息

  • 标题:Hybrid Image Thresholding Method using Edge Detection
  • 作者:Febriliyan Samopa ; Akira Asano
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2009
  • 卷号:9
  • 期号:4
  • 页码:292-299
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a hybrid thresholding method that combines the P-tile method with an edge detector to assist it in the thresholding process. This method successfully generates more accurate object shape extraction than the conventional methods.
  • 关键词:Image Thresholding; P-tile; Edge Detection
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