Multichannel analysis to obtain invariant pattern recognition with defocused images

Asticio A. Vargas; Juan Campos; Cesar San Martin; Nestor Vera

doi:10.1117/12.524005

19 November 2003 Multichannel analysis to obtain invariant pattern recognition with defocused images

Asticio A. Vargas, Juan Campos, Cesar San Martin, Nestor Vera

Proceedings Volume 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life; (2003) https://doi.org/10.1117/12.524005
Event: 19th Congress of the International Commission for Optics: Optics for the Quality of Life, 2002, Florence, Italy

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.

Citation Download Citation

Asticio A. Vargas, Juan Campos, Cesar San Martin, and Nestor Vera "Multichannel analysis to obtain invariant pattern recognition with defocused images", Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); https://doi.org/10.1117/12.524005

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KEYWORDS

Image processing

Pattern recognition

Optical transfer functions

Signal to noise ratio

Image filtering

Fourier transforms

Image analysis

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