The liver is the largest organ in the abdomen. Liver cancer is one of the major death factors in the world. Most of the peoples who have liver tumour were died due to the fact of inaccurate detection. Medical image segmentation is difficult to detect the accurate results of tumour in liver. Tumour segmentation in liver CT images is a challenging task. This paper consists of various image processing techniques like image pre-processing and image enhancement which is used to improve the quality of the liver image. This helps to detect and segment the tumour in liver effectively. The automated segmentation of liver is addressed first and then filtering is used to remove unwanted noise finally The clustering algorithm helps to detect the tumour in liver CT image. In this work aids to improve the better classification performance. Early detection helps to save the people from liver cancer
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