Today, a wide range of different image segmentation techniques can be found in medical imaging. Image segmentation is an important part of image processing, which often has a large impact on quantitative image analysis results. These allow the radiologist to obtain two and three-dimensional view of the internal structures of the human body, it has a large application domain for redundant clinical problems. Hence this paper gives insight into the various literatures published for the last

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... for the last decades on medical image segmentation and texture detection, its applicability into various domains of image processing and to identifying the further research problems. The 3D segmentation is formulated in a non-parametric tracking frame work. Those experimentation results are also performing well. But those have also some limitations. In future the system should be improved by adapting more segmentation algorithm to suit the different medical image segmentation.