MEDICAL IMAGE ENHANCEMENT BASED ON AN EFFICIENT APPROACH FOR ADAPTIVE ANISOTROPIC DIFFUSION

Abstract

Digital Medical images are often affected by unwanted noise, blurriness and suffer from lack of contrast and sharpness which sometimes results in false diagnosis. Main target of this paper is to process a medical image so that the result is more suitable than the original image for a medical diagnosis. This is achieved by applying an efficient approach for an adaptive anisotropic diffusion algorithm. In this paper a color images and medical images are enhanced using a new edge –stopping function for an efficient adaptive anisotropic diffusion algorithm to improve the performance of the an efficient adaptive anisotropic diffusion filter. Experimental results show that the anisotropic diffusion filter with the new function can effectively remove noise from a medical images with minimum edge blurring. Our paper emphasis on eliminating these problems there by makes the diagnosis disease easy.