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计算机工程 ›› 2009, Vol. 35 ›› Issue (23): 217-219. doi: 10.3969/j.issn.1000-3428.2009.23.075

• 图形图像处理 • 上一篇    下一篇

基于快速FCM算法的多目标分割CV模型

葛 琦,张建伟,陈允杰,吴玲玲,王克松   

  1. (南京信息工程大学数理学院,南京 210044)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-12-05 发布日期:2009-12-05

Chan-Vese Model Based on Fast FCM Algorithm in Multiple-objects Segmentation

GE Qi, ZHANG Jian-wei, CHEN Yun-jie, WU Ling-ling, WANG Ke-song   

  1. (College of Math & hysics, Nanjing University of Information Science & Technology, Nanjing 210044)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-12-05 Published:2009-12-05

摘要: Chan-Vese(CV)模型是基于水平集方法演化不依赖图像梯度的算法,能很好地处理拓扑变化和弱边界,但对于目标和背景对比度低的边界以及多目标区域分割效果较差。针对上述问题提出一种基于快速模糊F均值(FCM)算法和邻域模板改进的CV模型。利用快速 FCM算法提取图像特征信息,采用邻域模板阈值法对不同的目标区域分别处理,准确控制了轮廓线的分裂,能够分割出更多的目标区域。

关键词: Chan-Vese模型, 快速模糊F均值算法, 邻域模板, 多目标

Abstract: Chan-Vese(CV) model is able to handle the blurry boundary and complex topological structures in images segmentation. The effect on extracting multiple-objects contours and contours in low contrast of the objects and background is not success. This paper proposes an improved CV model based on fast FCM algorithm and local template. It gets the image property by fast FCM algorithm, and makes use of local template to handle the different objects differently so as to control the split-up of the contour accurately and segment more objects.

Key words: Chan-Vese(CV) model, fast FCM algorithm, local template, multiple-objects

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