Intelligent technique for CT brain image segmentation

Image segmentation plays a vital role in medical imaging applications. It facilitates the delineation of anatomical structures and other regions of interest. Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography, and other imaging modalities provide an effective means for noninvasively mapping the anatomy of a subject. These technologies have greatly increased knowledge of normal and diseased anatomy for medical research and are a critical component in diagnosis and treatment planning. In this paper, the brain image is considered for analysis and detection. Initially the region of interest is found, that helps to detect the particular content of the image and set the boundary of it. Fuzzy based clustering method is applied as an intelligent method for the image segmentation. For this purpose the thresholding using histogram is done. The final results are also compared for different clustering algorithms.