Topography Image Segmentation Based on Improved Chan-Vese Model

作     者：ZHAO Min-rong ZHANG Xi-wen JIANG Juan-na 

作者机构：Natural Science CollegeAir Force Engineering University Information and Navigation CollegeAir Force Engineering University 

出 版 物：《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造（英文版）)

年 卷 期：2013年第23卷第2期

页      码：13-16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 per）brmances of maintaining topological properties of the traditional level set method and avoiding the numerical so- lution of partial differential, the same segmentation results could be easily obtained. Thus, a stable foundation tbr rapid segmenta- tion-based on image reconstruction identification is established.

主 题 词：improved Chan-Vese model topography reconstruction image segmentation 

学科分类：07[理学] 08[工学] 070601[070601] 080203[080203] 0706[理学-大气科学类] 0802[工学-机械学] 

D　O　I：10.19583/j.1003-4951.2013.02.003

馆 藏 号：203812143...