Focusing evaluation method based on wavelet transform and adaptive genetic algorithm

Aijun Yin; Benqian Chen; Yi Zhang

doi:10.1117/1.OE.51.2.023201

19 March 2012 Focusing evaluation method based on wavelet transform and adaptive genetic algorithm

Aijun Yin, Benqian Chen, Yi Zhang

Author Affiliations +

Optical Engineering, Vol. 51, Issue 2, 023201 (March 2012). https://doi.org/10.1117/1.OE.51.2.023201

Abstract

The focusing evaluation method based on wavelet transform and adaptive genetic algorithm (AGA) is developed in this paper. First, db7 wavelet transform is performed and the corresponding images are evaluated. Afterward, the optimal evaluation region is searched automatically in 2D wavelet coefficients by AGA. Finally, the criteria function based on the weighted MWT² operator is used to evaluate the focusing condition. The wavelet base, order number of vanishing moments, and wavelet decomposition level are the key factors in constructing the operator. The parameters of new focus measure operator are analyzed and verified through experimental methods. The comparative experiments with other methods show that the AGA method not only could find the approximate optimal evaluation window quickly and accurately, but it has better generality as well. The weighted evaluation function of the MWT² operator based on the db7 wavelet has higher sensitivity and better real-time performance.

Citation Download Citation

Aijun Yin, Benqian Chen, and Yi Zhang "Focusing evaluation method based on wavelet transform and adaptive genetic algorithm," Optical Engineering 51(2), 023201 (19 March 2012). https://doi.org/10.1117/1.OE.51.2.023201

Published: 19 March 2012

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