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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 4 — Feb. 1, 2014
  • pp: 634–642

Channel selection for multispectral color imaging using binary differential evolution

Hui-Liang Shen, Jian-Fan Yao, Chunguang Li, Xin Du, Si-Jie Shao, and John H. Xin  »View Author Affiliations

Applied Optics, Vol. 53, Issue 4, pp. 634-642 (2014)

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In multispectral color imaging, there is a demand to select a reduced number of optimal imaging channels to simultaneously speed up the image acquisition process and keep reflectance reconstruction accuracy. In this paper, the channel selection problem is cast as the binary optimization problem, and is consequently solved using a novel binary differential evolution (DE) algorithm. In the proposed algorithm, we define the mutation operation using a differential table of swapping pairs, and deduce the trial solutions using neighboring self-crossover. In this manner, the binary DE algorithm can well adapt to the channel selection problem. The proposed algorithm is evaluated on the multispectral color imaging system on both synthetic and real data sets. It is verified that high color accuracy is achievable by only using a reduced number of channels using the proposed method. In addition, as binary DE is a global optimization algorithm in nature, it performs better than the traditional sequential channel selection algorithm.

© 2014 Optical Society of America

OCIS Codes
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Vision, Color, and Visual Optics

Original Manuscript: October 21, 2013
Manuscript Accepted: December 13, 2013
Published: January 24, 2014

Virtual Issues
Vol. 9, Iss. 4 Virtual Journal for Biomedical Optics

Hui-Liang Shen, Jian-Fan Yao, Chunguang Li, Xin Du, Si-Jie Shao, and John H. Xin, "Channel selection for multispectral color imaging using binary differential evolution," Appl. Opt. 53, 634-642 (2014)

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