Multiple Sclerosis (MS) is an autoimmune disease that affects the central nervous system. The destruction of nerve cells in the body can cause various symptoms in the body, such as fatigue, blurred vision in the eyes, numbness and loss of body coordination, etc., the exact cause of which has not yet been determined. MS is a chronic disease that attacks and destroys the nerve fibers surrounded by myelin. Today, researchers are trying to find a way to diagnose and treat MS by using Magnetic Resonance Imaging (MRI) images and its processing and Artificial Intelligence (AI) algorithms. In this paper, a new hybrid algorithm for identifying MS disease with the help of MRI images is presented. The proposed algorithm first detects the highlights in the MRI images with the help of a detector and then by using the scattered histogram, the highlights will be displayed in an efficient manner. The simulation results demonstrate the precision and detection capability of the proposed algorithm relative to others.