JACIII Vol.3 No.6 pp. 441-445
doi: 10.20965/jaciii.1999.p0441


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

June 23, 1999
August 21, 1999
December 20, 1999
Eye ground image, Image enhancement, Fuzzy set
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.
Cite this article as:
Y. Wang, J. Wang, Y. Wang, and Y. Dong, “Enhancement of Eyeround Images Based on an Improved Fuzzy Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.3 No.6, pp. 441-445, 1999.
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Last updated on Feb. 29, 2024