Target recognition under nonuniform illumination conditions
Applied Optics, Vol. 48, Issue 7, pp. 1408-1418 (2009)
http://dx.doi.org/10.1364/AO.48.001408
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Abstract
A two-step algorithm for reliable recognition of a target imbedded into a two-dimensional nonuniformly illuminated and noisy scene is presented. The input scene is preprocessed with a space-domain pointwise procedure followed by an optimum correlation. The preprocessing is based on an estimate of the source illumination function, whereas the correlation filter is optimized with respect to the mean-squared-error criterion for detecting a target in the preprocessed scene. Computer simulations are provided and compared with those of various common techniques in terms of recognition performance and tolerance to nonuniform illumination as well as to additive noise. Experimental optodigital results are also provided and discussed.
© 2009 Optical Society of America
OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.3008) Image processing : Image recognition, algorithms and filters
ToC Category:
Fourier Optics and Optical Signal Processing
History
Original Manuscript: July 9, 2008
Manuscript Accepted: January 19, 2009
Published: February 26, 2009
Citation
Victor H. Diaz-Ramirez and Vitaly Kober, "Target recognition under nonuniform illumination conditions," Appl. Opt. 48, 1408-1418 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-7-1408
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