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Proceedings Paper

Multichannel analysis to obtain invariant pattern recognition with defocused images
Author(s): Asticio A. Vargas; Juan Campos; Cesar San Martin; Nestor Vera
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Paper Abstract

In this work we present a methodology to obtain invariant pattern recognition when the input scene is degraded by a defect of focus. When the image is blurred the discrimination capacity (DC) diminishes and the pattern recognition process is worse. This method is based in the selection of ring frequency bands and in the design of trade-off filters. Then several information channels are obtained. The information of all the channels is fused by means of the addition of all the channels and the geometric mean of them. Also individual channel analysis is shown. The influence on the DC and on the SNR of the added white noise in the input image is presented.

Paper Details

Date Published: 19 November 2003
PDF: 2 pages
Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); doi: 10.1117/12.524005
Show Author Affiliations
Asticio A. Vargas, Univ. de la Frontera (Chile)
Juan Campos, Univ. Autonoma de Barcelona (Spain)
Cesar San Martin, Univ. de la Frontera (Chile)
Nestor Vera, Univ. de la Frontera (Chile)


Published in SPIE Proceedings Vol. 4829:
19th Congress of the International Commission for Optics: Optics for the Quality of Life
Giancarlo C. Righini; Anna Consortini, Editor(s)

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