Image Segmentation Algorithm Based on Cloud Model the Application of fMRI

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 fMRI 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.