Classification of Breast Tissue for Mammograms Images Using IntensityHistogram and Statistical Methods

Abstract

In order to classify a image texture it must be segmented into a number of
regions. each region have the same properties. a circular mask has been used. after
the required region is obtained a intensity histogram and then as set of histogram
features has been calculated in order to classify the required images.
The statistical features of a mammogram are extracted using image processing
techniques. The extracted statistical features are the mean, standard deviation,
smoothness, third moment uniformity and entropy for each of the histogram
intensity and first order statistic a compare between the two