Topography Image Segmentation Based on Improved Chan-Vese Model

查看全文 作　　者：ZHAO Min-[1]rong;ZHANG Xi-[2]wen;JIANG Juan-[1]na

机构地区：[1]Natural Science College,Air Force Engineering University;[2]Information and Navigation College,Air Force Engineering University

出　　处：《Computer Aided Drafting,Design and Manufacturing》索引2013年第23卷第2期,共4页

摘　　要：Aiming to solve the inefficient segmentation in traditional C-V model for complex topography image and time-consuming process caused by the level set function solving with partial differential, an improved Chan-Vese model is presented in this paper. With the good performances of maintaining topological properties of the traditional level set method and avoiding the numerical solution of partial differential, the same segmentation results could be easily obtained. Thus, a stable foundation for rapid segmentation-based on image reconstruction identification is established. 关键词：图像分割地形 e模型 Ves 偏微分方程水平集方法拓扑性质图像识别

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Topography Image Segmentation Based on Improved Chan-Vese Model

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