Abstract

The watershed transform is the method of choice for medical image segmentation. Separating overlapping objects\nin an image is one of the challenging tasks in image processing operations. Segmentation of brain MR image using marker\ncontrolled watershed transform works better if we can identify or mark foreground objects and background locations. This\npaper deals with a novel segmentation method giving realistic results on brain tumor boundary detection using brain MR\nimages. This method can be easily used to diagnose tumor boundary with a faster rate and it is accurate compare to the\nexisting methods.