Texture analysis techniques for the classification of microcalcifications in digitised mammograms

We present various image texture analysis techniques for the classification of microcalcifications in digitised mammograms. Three categories of image texture features are extracted from the microcalcifications. The set of features based on a combined statistical and multiresolution approach to texture analysis gave the best results. Both a k-nn classifier and an artificial neural network are used for classification.