Implementation of Fuzzy Logic in Identification of Calcification in Mammogram Image

Mammogram is a specialized medical imaging tool used for finding the presence of Microcalcification in the women's breast. Microcalcification generally refers to an initial form of breast cancer. A mammogram image helps the doctor to understand the approximate number of calcifications identified in the breast. Many analytical methods have been proposed to identify the extent of MC in the mammogram image. Those analytical methods can help in Computer Aided Detection (CAD) of MC. To encircle the Microcalcification locations, many commercial software have been developed. The proposed system uses Fuzzy logic for segmentation and Gray Level Co-Occurrence Matrix to extract features based on texture for identifying MC from the mammogram images. Comparison of ground truth image with the extracted features is done to find the segmentation accuracy. The accuracy of the algorithm is analyzed by PSNR metric in identifying the calcification in mammogram.