Published Paper Details:

Boundary detection of brain tumor from the MRI is a time consuming task. This is due to the diversity in shape, size and appearance of the tumors. Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. To segment the boundary of the brain tumor region, many segmentation techniques have been emerged in image processing like the region based segmentation, the boundary based segmentation. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, Kapur Entropy measure method is used for boundary detection of brain tumor segmentation and its earlier detection. In the proposed approach threshold selection is done on the basis of different Kapur entropy measure. Simulation results for different MRI Images are also presented and it is observed that in 3D MRI Images, Kapur entropy is able to detect the brain tumor at its earlier stage.