Detection of Brain Tumor Using Image Processing Techniques

Brain tumor is a deadly disease since it spreads to various parts and affects their functioning. Cells grow abnormally and form as tumors. Various techniques have been implemented for the identification but image processing is quite complicated. The dataset used is brain tumor dataset which consists of MRI scans of the brain. The groundwork presents a technique in detecting this ailment of brain tumor from the provided MRI images with approving accuracy. The dataset named brain tumor dataset is utilized for proposed work. Our methodology consists of various steps such as pre-processing to enhance the image by reducing noise through filters. This is followed by threshold segmentation strategy. Later, the morphological operations are involved in the further stage. In the end, the tumor region is inferred employing image subtraction method.