A Novel Medical Image Segmentation Method Based on GCBAC Model
Liangliang Li, Yujuan Si, Baoluo Ma, Zhenghong Jia · 2017
In this paper, a novel medical image segmentation algorithm based on GCBAC model is proposed. The entire process of medical image segmentation have solved the determination of the regularising parameter. Firstly, a new energy function which disregards the regularising parameter is proposed in the GCBAC model in order to avoid the edge and region balance problems. Secondly, the GCBAC model can extract the desired segmentation object by constructing a specified graph. Simulation results indicate that the proposed algorithm can effectively improve the quality of image segmentation and demonstrates improved time elapsed.