… [6], in which histogram information (statistical distributions over a texton dictionary) of …
radiologist extracted small regions from about 40 randomly selected mammograms. The regions …

… texture contents from the X ray images are utilized for density classifications. … to segment
the breast areas from the original mammograms. In Section III, we define the statistical moments …

… region of interest interactively chosen by a radiologist. … The threshold for the histogram is
selected by the user. … is proposed to segment MR brain images into seven classes. Different …

… of medical images obtained from different imaging systems … Segmentation is a process
of dividing an image into regions … to be determined from the histogram of the image. Again …

… entropy, contrast, inverse difference moment, mean, standard … In medical imaging automated
description of different image … To segment the images, histogram based FCM algorithm is …

… from grey level histograms computed in these regions. In this … The density grades refer to a
classification of one radiologist, … this study the use of features based on histograms made as a …

… segmenting a textured image into several regions with the same texture features. An effective
and efficient texture segmentation … such as the moments of the gray-level histogram, or …

… combine classification methods with the image descriptors, … use shape and margin features
based on Zernike moments. … SUV volume histograms were obtained and, from these, metrics …

… region based, texture based and Zernike moments … segment the region of interest in knee
x-ray image. The HOG features are computed and multiclass SVM is employed for classification…

… fidelity in segmentation by forcing boundary to regions of … Consequently, we compute Hu’s
Hm = 7 moment invariants for … evaluation of multimodality breast imaging). Sequential post …