Segmentation of medical images have brought a considerable impact on the diagnosis, medicine, and treatment. This segmentation of images helps the doctors in exploring the internal anatomy. There are many existing techniques based on cross-section images and X-Ray like Computed Tomography (CT), or Magnetic Resonance Imaging, or others like Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), or ultrasound. The Computed Tomography images are complex, so the identification as well as the localization of organs manually is interminable and hard.