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.