A method for breast ultrasound image segmentation based on homogeneity histogram
Yanhui Guo · Ha'erbin gongye daxue xuebao · 2008
In order to detect potential lesions, a new method of breast ultrasound image segmentation based on the homogeneity histogram is proposed. Texture as well as edge features were used in the computation of homogeneity, so both global and local messages were considered, which can't be achieved by previous algorithms. The images were divided into the homogeneity subset and the non-homogeneity subset according to the threshold computed from the maximum entropy principle. The two subsets were segmented separately thereafter. Radio experts affirmed the processed result, and the difference assessment experiment demonstrated that the proposed approach could generate valid nodules discriminating from breast sonographics with valuable TP, FP, and FN data. It will be a better assistant for radiologists in the diagnosis of breast cancer.