An Infrared Image Segmentation Approach based on Improved Chan-Vese Model
In order to resolve the false segmentation and false tracking problems caused by occlusion during tracking IR target, on the basis of the adopting level set method without reinitialization presented by Chunming Li, an image segmentation method based on improved Chan-Vese model is proposed in this paper, and also the model's energy function and numerical operation are presented. The proposed approach is validated by using actual infrared image sequences. Image segmentation experiment results indicate the effectiveness of the proposed method in solving target occlusion.
国家科技期刊平台
NSTL
万方数据
维普
