Non-linear process applied to multiple correlations in pattern recognition of defocused images

A. Vargas

doi:10.1117/12.2299134

1 September 1996 Non-linear process applied to multiple correlations in pattern recognition of defocused images

A. Vargas

Proceedings Volume 2778, 17th Congress of the International Commission for Optics: Optics for Science and New Technology; 27786Z (1996) https://doi.org/10.1117/12.2299134
Event: 17th Congress of the International Commission for Optics: Optics for Science and New Technology, 1996, Taejon, Korea, Republic of

Abstract

In Pattern Recognition problems, the input scene of an optical system setup could present some optical or physical degradation like as defocusing. In that case the pattern recognition process may be affected, depending of the kind of filter that is used [1]. In general, both the correlation and the crosscorrelation peaks decrease when the amount of defocusing increases, with the result that the discrimination capability (DC) decreases as blurring increases.

Citation Download Citation

A. Vargas "Non-linear process applied to multiple correlations in pattern recognition of defocused images", Proc. SPIE 2778, 17th Congress of the International Commission for Optics: Optics for Science and New Technology, 27786Z (1 September 1996); https://doi.org/10.1117/12.2299134

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