Brain Tumor Segmentation and Boundary Detection using Image Processing Techniques in MATLAB

Medical image processing is now the most demanding and expanding field. It is widely used for brain tumor detection and segmentation at healthcare settings and research labs. In this research, we have used medical image processing technique to identify and isolate brain tumors from patient’s MRI images. Our method incorporates conversion of image to grayscale and then its conversion to black and white image, application of median filter, threshold-based segmentation, and boundary detection. We used median filter as it preserves the edges after removal of noise from the image. Conversion of greyscale representation into black and white image played the fundamental role in segmenting of the brain tumor by highlighting the cancerous portion of brain as white and healthy part of brain as black. Hence, it is very helpful in next step that is the boundary detection of the brain tumor. Identification and removal of tumor from MRI images of the brain has been done by using MATLAB software.