Automation of tumor detection is required because there might be a shortage of skilled

radiologists at a time of great need. We propose an automatic brain tumor detection and localization

framework that can detect and localize brain tumor in magnetic resonance imaging. The proposed brain

tumor detection and localization framework comprises five steps: image acquisition, pre-processing, edge

detection, modified histogram clustering and morphological operations.