Granulometric Feature Extraction for Cancerous Tissue Classification in Breast Images

L. Ballerini and L. Franzén (Sweden)


Medical image analysis, breast cancer, granulometry,math ematical morphology, neural network


This paper presents an application to a medical problem of methods of image analysis based on mathematical mor phology. The medical problem consists the detection of abnormalities in microscopic images of breast tissue. We propose a new method for the automatic discrimination of cancerous tissue from normal tissue. The method is based on granulometries, which are size-shape descriptors widely used in mathematical morphology. Applications of granu lometries lead to distribution functions whose moments are used as input of a neural network classifier to discriminate different tissues. The technique is illustrated with the anal ysis of some images of breast tissue.

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