Implementation of Segmentation and Classification Techniques for Mammogram Images

Abstract

Mammography is an important research field. Mammography Image classification is an area of interest to most of the researchers today. The aim of this paper is to detect the Mammography image for its malignancy. Different methods can be used to detect the malignancy. This paper represents GLDM and Gabor feature extraction methods along with SVM and K-NN classifiers. Experiments were conducted on MIAS database. The results show that combination of GLDM feature extractor with SVM classifier is found to give appropriate results.