• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Optimal Scheme of Retinal Image Enhancement Using Curvelet Transform and Quantum Genetic Algorithm

Vol. 7, No. 11, November 28, 2013
10.3837/tiis.2013.11.009, Download Paper (Free):

Abstract

A new optimal scheme based on curvelet transform is proposed for retinal image enhancement (RIE) using real-coded quantum genetic algorithm. Curvelet transform has better performance in representing edges than classical wavelet transform for its anisotropy and directional decomposition capabilities. For more precise reconstruction and better visualization, curvelet coefficients in corresponding subbands are modified by using a nonlinear enhancement mapping function. An automatic method is presented for selecting optimal parameter settings of the nonlinear mapping function via quantum genetic search strategy. The performance measures used in this paper provide some quantitative comparison among different RIE methods. The proposed method is tested on the DRIVE and STARE retinal databases and compared with some popular image enhancement methods. The experimental results demonstrate that proposed method can provide superior enhanced retinal image in terms of several image quantitative evaluation indexes.


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Cite this article

[IEEE Style]
Z. Wang, X. Xu, W. Yan, W. Wei, J. Li and D. Zhang, "Optimal Scheme of Retinal Image Enhancement Using Curvelet Transform and Quantum Genetic Algorithm," KSII Transactions on Internet and Information Systems, vol. 7, no. 11, pp. 2702-2719, 2013. DOI: 10.3837/tiis.2013.11.009.

[ACM Style]
Zhixiao Wang, Xuebin Xu, Wenyao Yan, Wei Wei, Junhuai Li, and Deyun Zhang. 2013. Optimal Scheme of Retinal Image Enhancement Using Curvelet Transform and Quantum Genetic Algorithm. KSII Transactions on Internet and Information Systems, 7, 11, (2013), 2702-2719. DOI: 10.3837/tiis.2013.11.009.