The global threshold segmentation in cardiac CT images
Zhenhua Shi · Microcomputer Information · 2010
In the process of identification and segmentation of CT images of the left ventricle in the heart region,it is often necessary to isolate the background from the image the heartq in each cavity of the images in order to obtain characteristics of cavity contour.In this paper,by using the similarity between the image histogram and the Gaussian probability distribution,we present a method that comes from the thought of Gaussian distribution of simulating gray image histogram.The optimal threshold value is solved.Each cavity of the heart is isolated completely.The method takes full consideration of the possibility of gray intersect between the image background region and the target area.In Segmentation results,the target area outlines are clear and accurate.