Mammography Image Segmentation Based on Fuzzy Morphological Operations

Breast cancer is one of the most dangerous health problems women suffer from all over the world. The key to improve diagnosis of breast cancer is the early detection of such a disease, so one of the most credible methods is the mammography for early detection of the breast cancer. In this study, segmentation techniques been proposed in order to analyze and segment the breast tumors, these technologies based on; Classic Morphology and Fuzzy Morphology, and a comparison between them. The proposed methods were tested using the database of mini -MIAS, which contained 322 images; after comparison the statistical results, it shown that diagnosis of tumor boundary with Fuzzy Morphology was high accuracy. also, it given the results better than Classic Morphology.