JIP_V1_N4_RP4 B. Sridhar K.V.V.S. Reddy A.M. Prasad Journal on Image Processing 2349-6827 1 4 26 35 Mathematical Morphology, Linear Filtering, Partial Differential Equation (PDE), Anisotropic Diffusion, Medical Images Mathematical Morphology is an efficient tool to extract the features from robust medical images. It provides a broad set of operations, which highlight the edges and improve the quality of the image. Anisotropic diffusion filtering has been widely applied as a mechanism for intra region smoothing of images. This paper aims to extend existing work in the development quality of medical image by using mathematical morphology and anisotropic vector gradient operators. Such types of operators may be anisotropic with respect to their shape and capacity to smooth the image locally as part of the feature extraction process. The proposed algorithm is applied on mammogram images. The performance of method is evaluated through peak signal to noise ratio, mean square error and structure similarity index measurement are calculated and plotted against the number of iterations of filter. October - December 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3037