Key points are not available for this paper at this time.
The mammography is the technique of imagery the most used to detect tumors at an early stage; it is currently the most sensitive method for early detection of breast cancer. Our work aims to provide a computer-aided detection (CAD) system that can help radiology specialists in the interpretation of mammogram for screening breast calcifications. For this purpose, we propose to use a system for the detection of calcifications, based on a new approach suggested for enhancing the contrast of mammography image. The latter is based on the suppression of noise (to decrease the noise to the maximum) by a Gaussian filter in order to bring out all the spots (Clear Spots) possible to be calcifications; by using an operator of the Top-Hat transform. This hat is resulting from the mathematical morphology, which make it possible to keep only these small structures. Visually, the obtained results are very clear, and show the good performance of the new approach suggested in this work. These latter allows extracting successfully the calcifications starting from the mammography referents from the mini-MIAS database 1.
Guerroudji et al. (Mon,) studied this question.