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Proceedings Paper

Invariant pattern recognition with defocused images
Author(s): A. Vargas; Cesar San Martin; Rodolfo Figueroa; Juan Campos; Maria Josefa Yzuel
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Paper Abstract

A methodology to obtain an invariant pattern recognition process when the input images are defocused is presented. Our method combines a multi-channel decomposition of the input scene and a usual correlation process to obtain several information channels. The information of the channels can be analyzed channel by channel or by means of a combination of them. In all the cases, the Discrimination Capability criterion is calculated and we see that the multi-channel procedure is more stable against defocus than the mono-channel one.

Paper Details

Date Published: 14 August 2001
PDF: 4 pages
Proc. SPIE 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications, (14 August 2001); doi: 10.1117/12.437191
Show Author Affiliations
A. Vargas, Univ. de La Frontera (Chile)
Cesar San Martin, Univ. de La Frontera (Chile)
Rodolfo Figueroa, Univ. de La Frontera (Chile)
Juan Campos, Univ. Autonoma de Barcelona (Spain)
Maria Josefa Yzuel, Univ. Autonoma de Barcelona (Spain)


Published in SPIE Proceedings Vol. 4419:
4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications

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