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  • 标题:Image Segmentation Methods: A Comparative Study
  • 本地全文:下载
  • 作者:A. M. Khan ; Ravi. S
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 页码:84-92
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Image segmentation is the fundamental step to analyze images and extract data from them. It is the field widely researched and still offers various challenges for the researchers. This paper tries to put light on the basic principles on the methods used to segment an image. This paper concentrates on the idea behind the basic methods used. Image segmentation can be broadly be categorized as semi-interactive approach and fully automatic approach and the algorithms developed lies in either of this approaches. Image segmentation is a crucial step as it directly influences the overall success to understand the image.
  • 关键词:Segmentation Methods; Image; Pixon; Cluster; ;Graph -cut; Hybrid Methods
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