Mean Shift Based Feature Points Selection Algorithm of DSA Images

摘要：

　　In Digital Subtraction Angiography (DSA) image registration algorithm,the precision of the control points as well as their number and the distribution in image determine the accuracy of geometric correction and registration.Control points usually adopt the grid points; however,a more effective method is to extract control points adaptively according to the image feature.In this paper,a control points selection algorithm of DSA images is proposed based on adaptive multi-Scale vascular enhancement,error diffusion and means shift algorithms.Experimental results show that the proposed algorithm can adaptively put the control points to blood vessels and other key image characteristics,and can optimize the number of control points according to practical needs,which will ensure the accuracy of DSA image registration.

关键词： Digital subtraction angiography Error diffusion Mean shift

作者: Fan Zhang Congcong Li Shan Kong Shuyue Liu Yanbin Cui

作者单位: School of Computer and Information Engineering, Henan University, Kaifeng 475001, China;Institute of Institute of Image Processing and Pattern Recognition,Henan University, Kaifeng 475001, China

会议类型: 国际会议

会议名称: The Third International Coference on Health Information Science(HIS2014)2014年第三届健康信息学国际学术会议

会议地点: 深圳

会议语种:英文

页码: 12-19

在线出版日期: 2014-04-22（万方平台首次上网日期，不代表论文的发表时间）