Novel level set approach for medical image segmentation based on region competition model
一种新的基于区域竞争模型的水平集医学图像分割方法

Traditional level set method based on gradient model has the leaking problem during the curve evolution. A level set method based on region competition model was proposed to solve this problem. Firstly, the probabilities of the level set curve that belonged to the object region and background region were calculated respectively using probability distribution equation; Secondly, the difference of the foreground and background probabilities and weights were added to the level set function to minimize the energy function during the curve evolution; Finally, the images regional information could be used to identify the object boundary. Experimental results show that the proposed method can segment the medical image well.