It takes a lot of time and effort to identify, segment, and detect the affected region in a brain tumour. Magnetic resonance imaging (MRI) is a notion in image processing that allows one to see the various human body structures. Using standard imaging methods to detect aberrant brain regions is a huge challenge. Multiple imaging modalities are used in an MRI procedure to examine and record the brain's interior structure. This article focuses on a method for removing noise from medical photographs, and then how to improve them using a balance contrast enhancement technique (BCET) so that an accurate diagnosis may be made. The next step is to apply picture segmentation. The last step is to use the cunning edge detection approach to pick up on the subtle contours. To prove that the suggested method works, the results of the experiment showed that the area of the tumour and normal brain areas could be detected with approximately 98% accuracy in MRI pictures.