Segmentation of Brain Tumor using Morphological Operations

Medical images are extensively used by the doctors and researchers to find presence of abnormalities in human bodies and upgrading available technique respectively. This paper gives a technique for detection of brain tumor from Magnetic Resonance Imaging (MRI). MRI is an imaging tool used to identify and picture better-quality details of the internal organs of the body. MRI has better contrast for detecting soft tissues with good accuracy. Hence, MRI is widely used for the detection of brain tumor. Segmentation method for Magnetic Resonance Imaging (MRI) of the brain is one way the radiologist performs on the image for finding the tumor tissue from the normal tissue. However the images are degraded with a noise which creeps into the image while storage, transferring or fromhandling instruments. Preliminary step starts with pre-processing and that includes resizing of image, gray conversion. This is done to enhance the finer details and remove the noise from the image. Morphological segmentation is one of the most preformed operations in segmenting images based on grouping pixels that are of similar intensities. The use of the morphological functions is to break the tumor from the image and thus highlighting it. Now only the tumor portion of the image is visible, shown as white color.