Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Feature Region Segmentation for the Analysis of Eye-fundus Images

안저영상 해석을 위한 특징영역의 분할에 관한 연구

  • 강전권 (인하대학교 전자공학과) ;
  • 한영환 (인하대학교 전자공학과, 건양대학교 컴퓨터공학과, 인천대학교 정보통신공학과)
  • Published : 1995.06.01
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Abstract

Information about retinal blood vessels can be used in grading disease severity or as part of the process of automated diagnosis of diseases with ocular menifestations. In this paper, we address the problem of detecting retinal blood vessels and optic disk (papilla) in eye-fundus images. We introduce an algorithm for feature extraction based on Fuzzy Clustering algorithm (fuzzy c-means). A method of finding the optic disk (papilla) is proposed in the eye-fundus images. Additionally, the inrormations such as position and area of the optic disk are extracted. The results are compared to those obtained from other methods. The automatic detection of retinal blood vessels and optic disk in the eye-rundus images could help physicians in diagnosing ocular diseases.

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References

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