抄録
X-ray mammography (mammogram) currently is a common imaging method used to check primarily the presence of breast pathologies. Because images are densely textured with low signal to noise ratio, it may happen that diagnosis of small pathologies, such as cancers, is missed. In this work we propose a robust fuzzy filtering for image enhancement and noise reduction at the same time. Gray scale intensity is considered an element of a fuzzy set and is associated to gaussian membership functions. The output of fuzzy filter is a mapping of target pixel to a new value that may correspond to background object, pathological calcification, or fibrous tissue. Our filter, eliminating high frequency noise, assures that micro-calcifications are well enhanced.