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Healthc Inform Res > Volume 15(2); 2009 > Article
Journal of Korean Society of Medical Informatics 2009;15(2):227-234.
DOI: https://doi.org/10.4258/jksmi.2009.15.2.227    Published online June 30, 2009.
A Study on Pupil and Iris Segmentation of the Anterior Segment of the Eye
Ho Chul Kang1, Kwang Gi Kim1, Whi Vin Oh1, Jeong Min Hwang2,3
1Biomedical Engineering Branch, Division of Cancer, National Cancer Center, Korea.
2Department of Ophthalmology, Seoul National University College of Medicine, Korea.
3Seoul National University Bundang Hospital, Korea.
Correspondence:  Kwang Gi Kim,
Received: 18 August 2008
Abstract

Objective: The goal of this study was to develop a novel pupil and iris segmentation algorithm. We evaluated segmentation performance based on a fractal model. Two methods were compared: Daugman's and our new proposed method.

Methods: We received 200 anterior segment images with 3,872×2,592 pixels. Here we present an active contour model that accurately detects pupil boundaries in order to improve the performance of segmentation systems. We propose a method that uses iris segmentation based on a fractal model. We compared the performance of Daugman's method and the proposed new method and statistically analyzed the results.

Results: We manually compared segmentation with the Daugman's method and the new proposed method. The findings showed that the proposed segmentation accuracy was about 2.5 percent higher than Daugman's method. There was a significant difference (p<0.05) between the under and over data between the two methods.

Conclusion: The results of this study show that the new proposed method was more accurate than the conventional method for the measurement of segmentation of the eye by CAD (Computer-aided Diagnosis).

Key Words: Pupil, Iris, Segmentation, Computer-aided Diagnosis, Image Processing


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