A brain tumor is an assortment, or mass, of strange cells in your cerebrum. MRI scan is usually used to help in analyzing brain tumors. Sometimes color might be infused through a vein in your arm during your MRI study. Any development inside a particularly limited space can cause issues. Brain tumors can cause cancerous or noncancerous in our cerebrum. Tumors are treatable whenever distinguished at the beginning phase. Generally, diagnosing or analyzing a brain tumor typically starts with magnetic resonance imaging (MRI). When MRI image shows that there is a tumor in the brain, the most widely recognized approach or method to decide the sort of cerebrum tumor is to take a gander at the outcomes from an example of tissue after a biopsy or medical procedure. X-rays make more nitty-gritty pictures than CT examines (see underneath) and are the favored method to analyze a brain tumor. The MRI image may be of the cerebrum, spinal line, contingent upon the kind of brain tumor suspected and the probability that it will spread in the CNS. In this project, our goal is to recognize the cerebrum tumor from the MRI pictures by utilizing Soft Computing. Picture Segmentation is done to remove important highlights and performing examination dependent on the division of pictures utilizing K methods bunching. Picture decrease is accomplished for quick handling of pictures utilizing the FCM method. The proposed framework can be generally utilized for the therapy of brain tumors utilizing clinical picture handling.