A Study on Peripheral Nerve Image Segmentation Algorithm

摘要：

　　Peripheral nerve CT image segment is the basis of peripheral nerve 3D reconstruction and visualization.This paper analysis graph cut theory and algorithm,and puts for forward an interactive segmentation algorithm for peripheral nerve image.Based on interactive image segmentation,the algorithm uses ASIGMM in the modelling,which enables to cut the graph with the utilization of pixel gray and neighborhood location information.Both theoretical analysis and simulation results justify the feasibility of the algorithm above.Peripheral nerve segmentation algorithm proposed in this paper can effectively suppress noise in the image,achieve better retention of marginal results,and guarantee accuracy of segmentation.

关键词： Peripheral nerve Interactive ASIGMM model CT image

作者: Xueli Zhou Bin Liu

作者单位: School of Physics and Electronic Engineering,Changshu Institute of Technology,Changshu,215500,China; School of Physics and Electronic Engineering,Changshu Institute of Technology,Changshu,215500,China;

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 864-868

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）