Résumé:
The mammography permits to visualize the breast as well as of possible lesions to
his/her level. It is currently the best exam of tracking of the breast cancer. Indeed, the
mammography permits to detect, at a woman whom has no symptom, of the tiny tumors non
discerned to the palpation. It is also an exam of diagnosis that the physician or the
gynecologist prescribes when he detects to the palpation an abnormal size or if the patient
presents obstinate symptoms as an induration of the breast, an increase abnormal of volume, a
nodule, a redness of skin, an out-flow abnormal of the nipple...
The picture represents an inestimable wealth seen the diversity of the information that it
conceals in it through these numerous contours and details. The medical picture is therefore a
source of very important diagnosis for the physician. The pictures gotten from the numeric
devices must be interpreted therefore correctly.
Our project appears in this goal in order to present an unsupervised segmentation
method which the formalism is relied on hidden Markov field. The originality of this method
is, it takes into account structural information processed as flexible spatial. Our first results
are very satisfactory.
