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.
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