Image Segmentation Algorithm Based on Nodes of Vector Flow Field
Qihe Li, Luo Yu-pin, Deyun Xiao · Jisuanji gongcheng · 2009
【Abstract】Snakes model is usually used for semi-automatic image segmentation for the existence of human interaction. In this paper, on the basis of Gradient Vector Flow(GVF) snakes, a fully automatic image segmentation algorithm based on the analysis of flow field and the minimal path method is proposed. It detects nodes of GVF field, sets the nodes as seeds, acquires an initial segmentation by multiple-label fast sweeping method, and uses a region merging to get the segmentation result. Experiments demonstrate the robustness and effectiveness of the algorithm.