  Segmentation of medical images is a challenging task owing to their
complexity. A standard segmentation problem within Magnetic Resonance Imaging
(MRI) is the task of labeling voxels according to their tissue type. Image
segmentation provides volumetric quantification of liver area and thus helps in
the diagnosis of disorders, such as Hepatitis, Cirrhosis, Jaundice,
Hemochromatosis etc.This work deals with comparison of segmentation by applying
Level Set Method,Fuzzy Level Information C-Means Clustering Algorithm and
Gradient Vector Flow Snake Algorithm.The results are compared using the
parameters such as Number of pixels correctly classified, and percentage of
area segmented.
