Segmentation is the process of partitioning the digital image into many segments which depends on pixels. It helps to identify objects or an irrelevant object in a particular area. The segmentation was based on color, texture and threshold methods. The main focus of this work is not only identifying the defected area in the brain but also analyzing the approximate location. So the clustering method is applied for grouping the similar objects. The non-invasive technique is a safe imaging technique uses today in research facilities and hospitals throughout the world. The comparing of non-invasive techniques like Positron Emission Tomography (PET) scan and the hybrid of Near-Infrared Spectroscopy (NIRS) and Electro-Encephalography (EEG) brain interfaces gives the best result to find the approximate location of the detected area in the brain with accuracy and stability.