科研之友
微信
新浪微博
Facebook
分享链接
摘要
We presented an improved geodesic active contour model for image segmentation. This method combines the geodesic active contour model and the tensor voting framework. We added influence of tensor voting in the edge-detector function. The proposed model is more sensitive to edges. It can detect weak boundaries of desired objects in some images with low contrast. Using this method, we don't have to spend time to find some suitable parameter which is necessary in the geodesic active contour model. Numerical results show the effectiveness.
