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  • 标题:REVIEW PAPER ON BRAIN IMAGE SEGMENTATION USING CHAN-VESE ALGORITHM AND ACTIVE CONTOURS
  • 本地全文:下载
  • 作者:Payal Gupta ; Satinderjeet Singh
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:11
  • 页码:3766-3769
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). Such common segmentation tasks including segmenting written text or segmenting tumors fro m healthy brain tissue in an MRI image, etc. Chan -Vese model for active contours is a po werful and flexible method which is able to segment many types of images, including some that would be quite difficult to segment in means of "classical" segmentation ¨C i.e., using thresholding or gradient based methods The model is based on an energy minimization problem, which can be reformulated in the level set formulation, leading to an easier way to solve the problem.
  • 关键词:Chan-Vese ;level set; active counter; ; segmentation etc
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