according to studies usually radiologists are able to detect ۱۰ to ۱۵percent of all cases of the disease are only possible through mammography image viewing and also the incorrect interpretation of symptoms of breast cancer causes ۵۲ percent of this errors during detection and ۴۳percent happens because of ignoring this symptoms in abnormal scans. For this reason,using of computer systems equipped with image processing softwares is considered as one of the most effective and fastest solution to solve this problem.because this mechanisms easily support mathematical algorithms and image processing techniques that make the possibility of fast and accurate diagnosis of breast cancer possible. We design an accurate an intelligent system by using of this methods that be able to reduce human errors in the diagnosis of breast cancer and detect it by ۹۷/۹۳ accuracy and ۹۸ sensificity at an early stageص.صBreast cancer is the most common cancer among women worldwide and also it is one of the reasons for deaths.early diagnosis of this complication is the most effective solution in the treatment of this disease