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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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_14644258_v5_n4_p425_Mazzaferri |
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todo:paper_14644258_v5_n4_p425_Mazzaferri2023-10-03T16:17:11Z Multiple feature extraction by using simultaneous wavelet transforms Mazzaferri, J. Ledesma, S. Iemmi, C. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Mazzaferri, J. Ledesma, S. Iemmi, C. 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. |
format |
JOUR |
author |
Mazzaferri, J. Ledesma, S. Iemmi, C. |
author_facet |
Mazzaferri, J. Ledesma, S. Iemmi, C. |
author_sort |
Mazzaferri, J. |
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 |
url |
http://hdl.handle.net/20.500.12110/paper_14644258_v5_n4_p425_Mazzaferri |
work_keys_str_mv |
AT mazzaferrij multiplefeatureextractionbyusingsimultaneouswavelettransforms AT ledesmas multiplefeatureextractionbyusingsimultaneouswavelettransforms AT iemmic multiplefeatureextractionbyusingsimultaneouswavelettransforms |
_version_ |
1782024079688073216 |