Comparison of Em Algorithm with a Guassian Multiresolution Algorithm for Mri Segmentation

Segmentation of anatomical regions of brain is fundamental problem in medical image analysis. In general, segmentation is process in which object is divided into its constituents parts. In this paper, MRI of brain is divided into its constituent’s parts which may be used for medical diagnosis purpose. Consequently we used statistical approach to segment the brain image. Using this approach, we proved Gaussian multiresolution algorithm gives better result than EM algorithm under the variance. We know that EM algorithm fails to utilize the strong spatial correlation between pixels but this drawback is eliminated by combining Gaussian multiresolution algorithm with the EM algorithm. Finally Gaussian multiresolution EM algorithm displays the high powerful technique which keeps the advantage of EM algorithm and remove the drawback of EM algorithm.