This study focuses on using digital image processing techniques to improve the accuracy of brain tumor detection from MRI scans, which assist radiologists. High resolution MRI images are processed through methods like pre-processing, segmentation, and feature extraction to identify tumor regions. Enhancing image quality by reducing noise and normalizing intensity levels is the first step, followed by using segmentation techniques such as thresholding, morphological operations, and region-based methods to isolate potential tumor areas. Advanced techniques like edge detection and texture analysis further enhance feature extraction, boosting tumor identification accuracy.