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KMID : 0603720090150020227
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Journal of Korean Society of Medical Informatics
2009 Volume.15 No. 2 p.227 ~ p.234
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A Study on Pupil and Iris Segmentation of the Anterior Segment of the Eye
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Kang Ho-Chul
Hwang Jeong-Min
Kim Kwang-Gi
Oh Whi-Vin
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Abstract
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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).
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KEYWORD
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Pupil, Iris, Segmentation, Computer-aided Diagnosis, Image Processing
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