SEGMENTATION BASED DETECTION OF BRAIN TUMOUR

Processing of magnetic resonance images (MRI) is one among the parts of the image processing in medical field, which is the most emerging field from past few days. Manual segmentation of brain tumor is time consuming and challenging task. The tumor detection is often a preliminary phase to solve the segmentation problem. This paper describes the detection of the brain tumor by segmentation and extraction of the detected tumor region by filling the tumor region with holes. Image segmentation becomes more significant while normally dealing with medical images. The proposed technique can be efficiently applied to detect and extract the brain tumor from MRI images obtained from patient’s data base. It proves to be handy tool for the physicians working in this field.