Analysis of mammograms using fractal features

Medical images like mammograms are very difficult to analyze because of their low contrast. Different fractal features are used for analyzing mammograms in this paper. The new fractal feature derived from the modified average image is found to be a better feature for distinguishing between normal, malignant, benign and mammograms with microcalcifications. The study is performed on the mammograms obtained from the online Mammographic Image Analysis Society (MIAS) Digital Mammogram database. The average values of the new normalized fractal feature for normal, mammogram with microcalcifications, benign and malignant tumors are obtained as 0.148, 0.437, 0.3145, and 0.5465 respectively.