Computer ministered analysis is needed to diagnose nervous system diseases. Among the various human brain disorders ischemic stroke dominates and acts as the leading cause of death and frailty in most countries. A stroke occurs because of destruction of brain function due to the uproar in the blood stream to the brain. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are the tests that processes and accounts the brains activity and plays very important role in detection and investigation of stroke. Various automated methods support well in discussing the normal and abnormal regions of brain. By visual inception it is hard to locate the critical changes in MRI and CT, thus inaugural up an immense research area for biomedical engineers to progress and contrivance numerous smart procedures for the identification of such subtle deviations. Hence computer aided detection scheme has to be developed to identify the normal and abnormal activity of the brain. This survey on stroke is to study such diagnostic system to outperform in bringing out the stroke lesions. Such automated methods using brain MRI and CT images to classify stroke activity tumors from non-tumor images greatly support researchers and doctors.