  Recognition of epileptic focal point is the important diagnosis when
screening the epilepsy patients for latent surgical cures. The accurate
localization is challenging one because of the low spatial resolution images
with more noisy data. Positron Emission Tomography (PET) has now replaced the
issues and caring a high resolution. This paper focuses the research of
automated localization of epileptic seizures in brain functional images using
symmetry based cluster approach. This approach presents a fully automated
symmetry based brain abnormality detection method for PET sequences. PET images
are spatially normalized to Digital Imaging and Communications in Medicine
(DICOM) standard and then it has been trained using symmetry based cluster
approach using Medical Image Processing, Analysis & Visualization (MIPAV) tool.
The performance evolution is considered by the metric like accuracy of
diagnosis. The obtained result is surely assists the surgeon for the automated
identification of seizures focus.
