This research intends to help in diagnostic by medical imaging, with the purpose of aiding in the early diagnosis and classification of breast diseases (benign/malignant). The project aims to integrate the main stages of image processing methods, in order to: the interpretation of the images; identification of tissue and anatomical and functional structures. The project extends from the acquisition of images and their organization in databases, through image analysis using numerical methods, until a final stage, where machine learning techniques must be used in order to be a feature extraction of breast images.