基于 C-V 模型的目标检测与提取

摘要

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 pro-poses a method of target detection and extraction based on the C-V model of variational level set .By a large number of experi-ments, it can be improved significantly on time and robustness .%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。