Segmentation of Human Eye Pupil with Novel Grid Based Localization Computing Sumathy G.1, Renjith J. Arokiya2 1Research Scholar, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India 2Professor, Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai, India Online published on 19 August, 2019. Abstract This paper discuss about grid computing which increase the performance of vision image segmentation. The segmentation process with grid computing identifies the challenging in computation task. Novel grid based method supports image processing technique to circle eye pupil in normal and defective eyes. The procedure of the proposed system use real eye images as data collection for input to grid computing. Image corner and line edge detection is replaced with grid based technique to achieve good segmentation result. Grid with different sizes classified to reach neighbors to form grid segment. Adjacency graph merge the regions of highlighted eye pupil. This grid location points of eye image is noted to identify the eye center localization. The experimental task proves the efficiency of automate segmentation compared with other algorithms. Top Keywords Eye ball Detection, Bilateral Filtering, Grid Based Pupil Localization, Power Law Transformation. Top |