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Three dimensional digital image processing is an important area of research that has numerous applications in the fields of medical imaging, seismology, geomorphology, remote sensing and material sciences. Depending on the requirement for solving a specific problem, one has to identify various features of three dimensional images while applying suitable algorithms. For example, the quantitative analysis of anatomical structures in MRI/CT images requires extraction of volumes and shapes of certain parts of human body. In order to do this, there is a need for detecting features such as points, lines, contours, surfaces, wireframes, textures and skeletal forms from three dimensional images. Detecting such superficial and volumetric features of three dimensional images has always been a difficult task and there is little progress made and found in literature. This problem is the actual motivating factor behind the work carried out. The sample video shown here demonstrates the possibility of isolating brain tumor in the MR image of a patient.