Mammogram Image Segmentation Quality EnhancementUsing Clustering Techniques

Breast cancer is the most commonly observed cancer in women both in the developing and the developed countries of the world .Cancer refers to the uncontrolled multiplication of a group of cells in a particular location of the body. A group of rapidly growing or dividing cells may form lump or mass of extra tissue. These masses are referred to as tumors. Cancer cells are termed as malignant tumors. Any form of malignant tumor developed from breast cells is nothing but breast cancer. Breast cancer detection is the standard diagnosis and prognosis. Mammogram Image segmentation isbest method used for detection breast cancer by using various clustering techniques such as K-Means modified K-Means (KM), Fuzzy C-Means. The 14 Haralick features are extracted from mammogram image using Gray Level Cooccurrence Matrix (GLCM) for different angles.