An Enhanced BE-GGMM-EI Algorithm for Medical Image Denoising

Abstract

Now a days, brain tumor detection without losing the edge information is very vital field of research, which may save many life. So in our proposed method, we have given emphasis on minimum loss of information in brain tumor MRI image. So we propose a BE-GGMM-EI (Background Estimated-Generalized Gaussian Mixture Model with Edge Information) method for detecting different brain tumors. In our proposed method, the tumor MRI image is first processed for background subtraction then the edge is enhanced with edge maximization technique. After that the image is denoised GGMM. Experimental results authenticate our proposed GGMM method to have better edge information with good PSNR value.