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The knowledge of the liver structure, liver surface (boundaries) and lesion localizations is required for segmentation of liver tumour. In this paper we use adaptive thresholding method for segmentation of liver tumour. Our aim is to generate a technique in MATLAB for automatic segmentation. We are using DICOM image and it is further converted to jpeg image for segmentation. These images are adopted from scan centre. Tumour segmentation in CT liver images is a challenging task. CT is the most commonly used imaging technique for the inspection of liver tumour. It helps doctors to acquire the information and provide opinions for liver tumour. Tests are performed on abdominal CT datasets showing promising result. The process of segmentation is done in two parts–first part is to convert a gray scale to binary image. Second part is adaptive thresholding which is done in generated binary mask of CT image.