Computer aided detection system for micro calcifications in digital mammograms
Noise and background removed using histogram equalization and morphological filtering. Local thresholding and Otsu's technique were used to segment masses from the background. Feature extraction of mammograms images was proposed using Gray Level co-occurrence matrix (GLCM). Three classifications techniques of mammogram images were applied.
micro calcifications (mccs) histogram equalization (he) k-nearest neighbor classifier (k-nn) support vector machine (svm) artificial neural network (ann) otsu's threshold