Classification of Breast Tissue for Mammograms Images Using Intensity Histogram 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 results in order to obtain the best for classification the Breast tissue.