Medical Image Segmentation Algorithm Based on Granular Computing

摘要：

　　Granular Computing theory is a interesting research direction in artificial intelligence field.In this paper,granular computing theory is applied to medical image segmentation.Granularity thinking in image segmentation is expounded,and a novel medical image segmentation method is proposed.Firstly,we construct different granularities according to different features that the image contained,secondly,do the attributes combination to the obtained quotient spaces according to the quotient space granularity synthesis principle,and then complete the image segmentation.Compared with the methods adopting single image feature,this method may fully use the image information in a more effective way and may obtain better segmentation effects.

关键词： Granular Computing Medical Image Segmentation Granularity Synthesis

作者: Fang Wang Juanjuan Ruan Gang Xie

作者单位: College of Information Engineering, Taiyuan University of Technology, Taiyuan, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1578-1582

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）