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Automatic image segmentation becomes very crucial for tumor detection inmedical image processing.In general, manual and semi automatic segmentationtechniques require more time and knowledge. However these drawbacks hadovercome by automatic segmentation still there needs to develop moreappropriate techniques for medical image segmentation. Therefore, we proposedhybrid approach based image segmentation using the combined features of regiongrowing and threshold based segmentation techniques. It is followed bypre-processing stage to provide an accurate brain tumor extraction by the helpof Magnetic Resonance Imaging (MRI). If the tumor has holes, the region growingsegmentation algorithm cannot reveal but the proposed hybrid segmentationtechnique can be achieved and the result as well improved. Hence the resultused to made assessment with the various performance measures as DICE, JACCARDsimilarity, accuracy, sensitivity and specificity. These similarity measureshave been extensively used for evaluation with the ground truth of eachprocessed image and its results are compared and analyzed.

A hybrid approach based segmentation technique for brain tumor in MRI Images