
Proceedings Paper
Using spatially varying pixels exposure technique for increasing accuracy of the optical-digital pattern recognition correlatorFormat | Member Price | Non-Member Price |
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Paper Abstract
The registration of correlation signals with high dynamic range leads to increase of recognition's accuracy and
robustness. Digital photo sensors with common Bayer colour filter array can be used for this purpose. In case
of quasimonochromatic illumination used in optical-digital correlator, it is possible to register correlation signals
with high dynamic range. For signal's registration it can be used not only colour channel, which corresponded
to the wavelength of illumination, but other colour channels too.
In this work the application of the spatially varying pixels exposures technique for obtaining linear high
dynamic range images of correlation signals from digital photo sensors with Bayer mosaic is presented. Bayer
colour filters array is considered as an array of attenuating filters in a quasimonochromatic light. Images are
reconstructed using information from all colour channels and correction coeficients that obtained at the preliminary
calibration step. The registered image of the correlation signal is mapped to the linear high dynamic
range image using a simple and eficient algorithm. Calibration procedure for correction coeficients obtaining is
described. Quantitative estimation of optical-digital correlator's accuracy is provided. Experimental results on
obtaining images of correlation signals with linear high dynamic range are presented.
Paper Details
Date Published: 19 January 2009
PDF: 10 pages
Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520V (19 January 2009); doi: 10.1117/12.805837
Published in SPIE Proceedings Vol. 7252:
Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)
PDF: 10 pages
Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520V (19 January 2009); doi: 10.1117/12.805837
Show Author Affiliations
Mikhail V. Konnik, Moscow Engineering Physics Institute (Russia)
Sergey N. Starikov, Moscow Engineering Physics Institute (Russia)
Published in SPIE Proceedings Vol. 7252:
Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)
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