Enhancement and GIF filtering for the improvement of the mammographique image

The cancer of the breast is the type of cancer that touches more of women in the world. Nowadays, one appraises that one out of ten women has a risk to be touched by this type of cancer. The best means to fight against this illness is through prevention by the precocious tracking slant. Through the intermediary of mammographic exams, these exams permit to discover the different lesions of the breast (microcalcification) and has a primordial role in the struggle against the cancer of the breast. It is in this setting that several works have started to come in to help radiologists at the time of their diagnoses. In this context, our work consists of two well-known complex problems, improvement by filtering and enhancement, whose feasibility remains to be proven again. We present in this article a technique of enhancement and GIF filtering in order to detect microcalcificationses while achieving a more effective algorithm.