An automated System for Liver CT Enhancement and Segmentation

In this paper we propose a method for automated liver segmentation from CT images that is invariant in terms of size, shape and intensity values. The system consists of three stages. In the first stage of the computerized system, the CT liver image is acquired and preprocessing is done to remove the noise and to enhance the image. In the second stage, liver region is segmented from the liver CT image. In the third stage, post processing enhancement is done on the segmented liver region to enhance the contrast of liver region. Experimental results show that our propose technique segments the liver region with accuracy.