Extensive image enhancement techniques for efficient micro classification in detection of mammography masses

Abstract

Digital mammography used for detecting and suspecting the tumors from mammogram images and it is most demanding research in current era. It infers the field of image processing [14]so that key tasks of image processing are useful for radiologists in the medical diagnosis of mammogram images. Image processing play a key role in the diagnosis of either tumors or small masses from mammography images, in which pre-processing or enhancing techniques are required for smooth micro classification analysis. In this paper, proposed technique is presented for improving the quality of mammogram images as well as better classification of mammogram images that helpful for presenting the effective diagnosis for detecting the tumors in digital mammography. In the experimental study, an efficiency of proposed technique is demonstrated with respect to several performance parameters from benchmarked mammogram images.