Feature extraction using a multichannel correlator

We propose here a method to optically perform multiple feature extraction using wavelet transforms. The method is based on obtaining the optical correlation by means of a Vander Lugt architecture, where the scene and the filter are displayed on spatial light modulators (SLM). Multiple phase filters...

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Detalles Bibliográficos
Autores principales: Mazzaferri, J., Ledesma, S., Iemmi, C.
Formato: CONF
Materias:
Joint transform correlator (JTC)
Multichannel correlators
Multiple phase filters
Wavelets
Charge coupled devices
Fourier transforms
Fractals
Frequencies
Light modulation
Light polarization
Liquid crystals
Numerical analysis
Optical filters
Optical projectors
Pattern recognition
Photodiodes
Photorefractive materials
Real time systems
Wavelet transforms
Optical correlation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0277786X_v4829I_n_p460_Mazzaferri
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_0277786X_v4829I_n_p460_Mazzaferri
record_format dspace
spelling todo:paper_0277786X_v4829I_n_p460_Mazzaferri2023-10-03T15:16:25Z Feature extraction using a multichannel correlator Mazzaferri, J. Ledesma, S. Iemmi, C. Joint transform correlator (JTC) Multichannel correlators Multiple phase filters Wavelets Charge coupled devices Fourier transforms Fractals Frequencies Light modulation Light polarization Liquid crystals Numerical analysis Optical filters Optical projectors Pattern recognition Photodiodes Photorefractive materials Real time systems Wavelet transforms Optical correlation We propose here a method to optically perform multiple feature extraction using wavelet transforms. The method is based on obtaining the optical correlation by means of a Vander Lugt architecture, where the scene and the filter are displayed on spatial light modulators (SLM). Multiple phase filters containing the information about the features that we are interested on extracting are designed and then displayed on a SLM working in mostly phase mode. We have designed filters where edges and corners or different characteristic frequencies contained on the input scene are detected. Simulated and experimental results are shown. Fil:Mazzaferri, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ledesma, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Iemmi, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0277786X_v4829I_n_p460_Mazzaferri
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Joint transform correlator (JTC)
Multichannel correlators
Multiple phase filters
Wavelets
Charge coupled devices
Fourier transforms
Fractals
Frequencies
Light modulation
Light polarization
Liquid crystals
Numerical analysis
Optical filters
Optical projectors
Pattern recognition
Photodiodes
Photorefractive materials
Real time systems
Wavelet transforms
Optical correlation
spellingShingle Joint transform correlator (JTC)
Multichannel correlators
Multiple phase filters
Wavelets
Charge coupled devices
Fourier transforms
Fractals
Frequencies
Light modulation
Light polarization
Liquid crystals
Numerical analysis
Optical filters
Optical projectors
Pattern recognition
Photodiodes
Photorefractive materials
Real time systems
Wavelet transforms
Optical correlation
Mazzaferri, J.
Ledesma, S.
Iemmi, C.
Feature extraction using a multichannel correlator
topic_facet Joint transform correlator (JTC)
Multichannel correlators
Multiple phase filters
Wavelets
Charge coupled devices
Fourier transforms
Fractals
Frequencies
Light modulation
Light polarization
Liquid crystals
Numerical analysis
Optical filters
Optical projectors
Pattern recognition
Photodiodes
Photorefractive materials
Real time systems
Wavelet transforms
Optical correlation
description We propose here a method to optically perform multiple feature extraction using wavelet transforms. The method is based on obtaining the optical correlation by means of a Vander Lugt architecture, where the scene and the filter are displayed on spatial light modulators (SLM). Multiple phase filters containing the information about the features that we are interested on extracting are designed and then displayed on a SLM working in mostly phase mode. We have designed filters where edges and corners or different characteristic frequencies contained on the input scene are detected. Simulated and experimental results are shown.
format CONF
author Mazzaferri, J.
Ledesma, S.
Iemmi, C.
author_facet Mazzaferri, J.
Ledesma, S.
Iemmi, C.
author_sort Mazzaferri, J.
title Feature extraction using a multichannel correlator
title_short Feature extraction using a multichannel correlator
title_full Feature extraction using a multichannel correlator
title_fullStr Feature extraction using a multichannel correlator
title_full_unstemmed Feature extraction using a multichannel correlator
title_sort feature extraction using a multichannel correlator
url http://hdl.handle.net/20.500.12110/paper_0277786X_v4829I_n_p460_Mazzaferri
work_keys_str_mv AT mazzaferrij featureextractionusingamultichannelcorrelator
AT ledesmas featureextractionusingamultichannelcorrelator
AT iemmic featureextractionusingamultichannelcorrelator
_version_ 1807323827489734656

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