Image Segmentation Algorithm Based on Cloud Model the Application of fMRI

摘要：

This paper introduces a new method-the cloud model theory for the fMRI image processing which aims at the uncertainty of the fMRI image data and the flaws of the current medical image segmentation algorithm. The method takes full account of the uncertainty of fMR1 data, through the production cloud, the cloud synthesis as well as the category determination, can be effective to carry on the classification to the image data, then realization to image segmentation. The experimental result indicates that, this method may be in the accurate segmentation fMRI image target sector, and surpasses the traditional the image segmentation algorithm.

作者: SHI Yunqiang YU Xianchuan

作者单位: CIST, Beijing Normal University Beijing 100875, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1427-1431

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）