Brain tumor detection based on watershed transformation

In this paper, a watershed transformation technique is used with gradient magnitude with morphological open image and two important features is used as foreground and background to identify the tumor. First the Magnetic Resonance imaging (MRI) Scan of tumor is given as an input and it undergoes into watershed technique which is a topological boundary dividing into two adjacent brain cells. With the gradient magnitude for segmentation technique the rate of inclination or declination of a tumor will be identified. To identify the foreground of the tumor, open the image morphological, thus it acquires clear idea about how the particular tumor will be closer to normal cells. With the background marker, the invisible tumor will be identified using threshold value. In the segmentation output finally, the intensity, size, shape of the tumor in the brain is displayed and can be analysis.