Detection of microcalcifications in mammograms using statistical measures based region-growing

Abstract

A novel technique to detect the microcalcifications in digital mammograms presented in this paper uses the statistical measures, namely mean and variance, as the criterion to classify the pixels representing microcalcifications. This method has proved its credentials by accurately segmenting the microcalcifications in the mammogram image. This approach fixes the boundary of the microcalcifications accurately, which confirms, its qualitative performance.