Paper:
Language: English:

Enhancement of Eyeround Images Based on an Improved Fuzzy Algorithm

Yaming Wang^*, Jiajun Wang^, Yuanmei Wang^ and Yude Dong^***

^School of Electronics and Informatics, Zhejiang Institute of Science and Technology 88 Wenyi Road, Hangzhou 310033,China
^Department of Biomedical Engineering, Zhejiang University Hangzhou 310027,China
^CAD & CG State Key Laboratory, Zhejiang University Hangzhou 310027,China

Received: June 23, 1999

Accepted: August 21, 1999

Keywords: Eye ground image, Image enhancement, Fuzzy set

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.3, No.6 pp. 441-445, 1999

Abstract

Eye ground images are complex, with many details and uncertainties. Conventional enhancement algorithms do not enhance these images suitably of inferior processing. S. K. Pal proposed a fuzzy enhancement algorithm with advantages, but these were compromised by slow processing and information loss. We propose a fuzzy enhancement algorithm for eyeground images introducing mapping and implementing the algorithm through table searches, significantly improving image quality and processing speed.

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