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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 7
First page : ( 1320) Last page : ( 1325)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.01770.4

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.

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Keywords

Eye ball Detection, Bilateral Filtering, Grid Based Pupil Localization, Power Law Transformation.

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