Multiple feature extraction by using simultaneous wavelet transforms

We propose here a method to optically perform multiple feature extraction by 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 (SLMs). Multiple phase filt...

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Detalles Bibliográficos
Publicado: 2003
Materias:
Multi-channel processor
Optical correlation
Wavelet transform
Computer simulation
Light modulation
Optical filters
Multi-channel processors
Wavelet transforms
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14644258_v5_n4_p425_Mazzaferri
http://hdl.handle.net/20.500.12110/paper_14644258_v5_n4_p425_Mazzaferri
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_14644258_v5_n4_p425_Mazzaferri
record_format dspace
spelling paper:paper_14644258_v5_n4_p425_Mazzaferri2023-06-08T16:16:45Z Multiple feature extraction by using simultaneous wavelet transforms Multi-channel processor Optical correlation Wavelet transform Computer simulation Light modulation Optical correlation Optical filters Multi-channel processors Wavelet transforms We propose here a method to optically perform multiple feature extraction by 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 (SLMs). Multiple phase filters containing the information about the features that we are interested in extracting are designed and then displayed on an SLM working in phase mostly mode. We have designed filters to simultaneously detect edges and corners or different characteristic frequencies contained in the input scene. Simulated and experimental results are shown. 2003 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14644258_v5_n4_p425_Mazzaferri http://hdl.handle.net/20.500.12110/paper_14644258_v5_n4_p425_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 Multi-channel processor
Optical correlation
Wavelet transform
Computer simulation
Light modulation
Optical correlation
Optical filters
Multi-channel processors
Wavelet transforms
spellingShingle Multi-channel processor
Optical correlation
Wavelet transform
Computer simulation
Light modulation
Optical correlation
Optical filters
Multi-channel processors
Wavelet transforms
Multiple feature extraction by using simultaneous wavelet transforms
topic_facet Multi-channel processor
Optical correlation
Wavelet transform
Computer simulation
Light modulation
Optical correlation
Optical filters
Multi-channel processors
Wavelet transforms
description We propose here a method to optically perform multiple feature extraction by 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 (SLMs). Multiple phase filters containing the information about the features that we are interested in extracting are designed and then displayed on an SLM working in phase mostly mode. We have designed filters to simultaneously detect edges and corners or different characteristic frequencies contained in the input scene. Simulated and experimental results are shown.
title Multiple feature extraction by using simultaneous wavelet transforms
title_short Multiple feature extraction by using simultaneous wavelet transforms
title_full Multiple feature extraction by using simultaneous wavelet transforms
title_fullStr Multiple feature extraction by using simultaneous wavelet transforms
title_full_unstemmed Multiple feature extraction by using simultaneous wavelet transforms
title_sort multiple feature extraction by using simultaneous wavelet transforms
publishDate 2003
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14644258_v5_n4_p425_Mazzaferri
http://hdl.handle.net/20.500.12110/paper_14644258_v5_n4_p425_Mazzaferri
_version_ 1768544655709831168

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