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Proceedings Paper

Illumination analysis of the digital pattern recognition system by Bessel masks and one-dimensional signatures
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Paper Abstract

The effects of illumination variations in digital images are a trend topic of the pattern recognition field. The luminance information of the objects help to classify them, however the environment illumination could cause a lot of problem if the system is not illumination invariant. Some applications of this topic include image and video quality, biometrics classification, etc. In this work an illumination analysis for a digital system invariant to position and rotation based on Fourier transform, Bessel masks, one-dimensional signatures and linear correlations are presented. The digital system was tested using a reference database of 21 fossil diatoms images of gray-scale and 307 x 307 pixels. The digital system has shown an excellent performance in the classification of 60,480 problem images which have different non-homogeneous illumination.

Paper Details

Date Published: 18 November 2013
PDF: 7 pages
Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 878573 (18 November 2013); doi: 10.1117/12.2030441
Show Author Affiliations
S. Solorza, Univ. Autónoma de Baja California (Mexico)
J. Álvarez-Borrego, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)


Published in SPIE Proceedings Vol. 8785:
8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications
Manuel Filipe P. C. Martins Costa, Editor(s)

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