Invariant pattern recognition based on harmonic decomposition: Sensitivity analysis

Emanuel Marom; David Mendlovic; Hanni Inbar; Naim Konforti

doi:10.1117/12.59848

Invariant pattern recognition based on harmonic decomposition: Sensitivity analysis

Emanuel Marom, David Mendlovic, Hanni Inbar, Naim Konforti

Tel Aviv University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Optical correlation schemes based on a matched filter containing a single Mellin radial or logarithmic harmonic of an object can be used to provide 2-D or 1-D scale invariant pattern recognition. The performance of these harmonic filters, as well as the performance of the conventional matched filter, was investigated. The response of the filters to various distortion parameters was studied along with a quantitative comparison between the various filters, using several performance criteria. In addition, the noise response of the above filters is analyzed. The noise considered was an additive white noise to the input plane, characterized by a single parameter σ, varied between 0 to 3 times the maximum input intensity. The analysis and results apply also to the joint transform correlator configuration.

Original language	English
Article number	1026204
Pages (from-to)	46-64
Number of pages	19
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10262
DOIs	https://doi.org/10.1117/12.59848
State	Published - 1 Apr 1992
Event	Optical Pattern Recognition: A Critical Review 1991 - San Jose, United States Duration: 4 Nov 1991 → …

Funding

Funders	Funder number
Symbol Technologies, Inc.
European Commission

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10.1117/12.59848

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abstract = "Optical correlation schemes based on a matched filter containing a single Mellin radial or logarithmic harmonic of an object can be used to provide 2-D or 1-D scale invariant pattern recognition. The performance of these harmonic filters, as well as the performance of the conventional matched filter, was investigated. The response of the filters to various distortion parameters was studied along with a quantitative comparison between the various filters, using several performance criteria. In addition, the noise response of the above filters is analyzed. The noise considered was an additive white noise to the input plane, characterized by a single parameter σ, varied between 0 to 3 times the maximum input intensity. The analysis and results apply also to the joint transform correlator configuration.",

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AB - Optical correlation schemes based on a matched filter containing a single Mellin radial or logarithmic harmonic of an object can be used to provide 2-D or 1-D scale invariant pattern recognition. The performance of these harmonic filters, as well as the performance of the conventional matched filter, was investigated. The response of the filters to various distortion parameters was studied along with a quantitative comparison between the various filters, using several performance criteria. In addition, the noise response of the above filters is analyzed. The noise considered was an additive white noise to the input plane, characterized by a single parameter σ, varied between 0 to 3 times the maximum input intensity. The analysis and results apply also to the joint transform correlator configuration.

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Invariant pattern recognition based on harmonic decomposition: Sensitivity analysis

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