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基于C—V模型的目标检测与提取
引用本文:蒲新华,李永久. 基于C—V模型的目标检测与提取[J]. 计算机与现代化, 2013, 0(11): 25-27,33
作者姓名:蒲新华  李永久
作者单位:[1]湖南交通职业技术学院汽车工程学院,湖南长沙410132 [2]三一重工,湖南长沙410100
摘    要:在目标检测与提取中,传统的蛇模型和基于活动轮廓的局部区域检测方法受到初始条件或者自身的收敛性约束的影响,不仅时间花费多,而且不具备鲁棒性。本文提出一种基于C V模型的变分水平集的目标检测与提取方法,通过大量实验验证,在花费时间和鲁棒性上得到了显著的改善。

关 键 词:水平集  目标检测与提取  活动轮廓

Target Detection and Extraction Based on C-V Model
PU Xin-hua,LI Yong-jiu. Target Detection and Extraction Based on C-V Model[J]. Computer and Modernization, 2013, 0(11): 25-27,33
Authors:PU Xin-hua  LI Yong-jiu
Affiliation:1. Dept. of Automotive Engineering, Hunan Communication Polytechnic College, Changsha 410132, China; 2. Sany Heavy Industry, Changsha 410100, China)
Abstract:In target detection and extraction, the traditional snake model and local area detection method based on active contour spend not only more time, but also have no robustness due to initial conditions or constraints of its convergence. This paper proposes a method of target detection and extraction based on the C-V model of variational level set. By a large number of experiments, it can be improved significantly on time and robustness.
Keywords:level set  target detection and extraction  active contour
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