Brain Tumor Detection and Segmentation by Using Thresholding and Watershed Algorithm

This Paper Present the detection and segmentation of brain tumor using watershed and thresholding algorithm. Brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size, shape, boundary extraction and location of tumor. The system is consist of three stages to detect and segment a brain tumor. An efficient algorithm is proposed for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators is applied to detect the tumor in the scanned image. After that edge detection operator is applied for boundry extraction and to find the size of the tumor.