: Image processing plays a vital role in medical diagnosis system. Out of various processing tools, image segmentation is very crucial in identifying the exact reason of disease. Image segmentation clusters the pixels into silent image regions i.e. regions corresponding to individual surfaces, objects or any part of objects. Various algorithms have been proposed for image segmentation. We have reviewed the different systems that have been developed for medical diagnosis purpose. Reviewing of these systems is based on level set methods of segmenting images. The theme, merits, demerits of various systems is discussed in this paper. Based on that, a new system has been proposed for segmenting the MRI image using variational level set algorithm without reinitialisation of MRI image. The system can be utilized both for simulated as well as real images.
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