This document presents an improved method for watershed and MRI image segmentation. The watershed transformation is a powerful tool for image segmentation but often results in oversegmentation. The author proposes a marker-controlled watershed segmentation approach to address this issue. The method involves computing internal and external markers to distinguish foreground objects from background. This approach is tested on MRI brain images and results in clear segmentation of regions of interest while reducing user interaction and speeding up the segmentation process overall. The method provides a robust tool for medical image segmentation that could benefit applications like diagnosis, teaching, and research.