A novel mammogram enhancement algorithm using fuzzy logic technique

Breast cancer is still a serious disease in many countries. Early detection is very important for diagnosis. Mammography has been one of the most reliable methods for early detection of breast cancer. However, the fuzzy nature of the mammograms and the low contrast between the breast cancer and tissue make the radiologists difficult provide accurate and effective diagnose. In this paper, an enhancement algorithm based on fuzzy logic technique is presented. In the first step, we normalize the mammograms and then fuzzify the normalized mammograms based on the maximum information entropy principle. Local information is extracted to measure the degree of enhancement, and details of mammograms can be enhanced and the noise can be suppressed. Finally, the defuzzification operation is used to transform the enhanced mammogram back to spatial domain. The experiments show that the proposed method can effectively enhance fine details of the mammogram features and reduce the affection of noise..