Magneticresonanceimaging (MRI)isasignificantimagingtechnologyfor brain tumor diagnosis because physicians can identify precise pathologies by studying thevariationsoftissuecharacteristicsthatoccursinvarious kinds of MR images. Segmentation of MRI is a pre-process in determining the volume of different brain tissues, but here tumor detection is of primary concern. We proposed a method to extract tumors as seen through MR brain images using co-clustering and morphological operationsanditsvolumeestimationwasdoneby Cavalier’sestimatorofmorphometricvolumemethod. Quantitative analysis showed that the proposed method yielded better results incomparison with fuzzy c-means algorithm (FCM)