Online pattern recognition in noisy background by means of wavelet coefficients thresholding

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When a scene contaminated with noise has to be recognized by using an optical correlator, the output plane may be strongly affected by noise, yielding mistaken results. Different strategies have been developed to overcome this problem. In this paper we present a method that applies the thresholding...

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Autor principal: Mazzaferri, Javier Esteban
Otros Autores: Ledesma, Silvia Adriana
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2005
Acceso en línea:Registro en Scopus
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100 1 |a Mazzaferri, Javier Esteban 
245 1 0 |a Online pattern recognition in noisy background by means of wavelet coefficients thresholding 
260 |c 2005 
270 1 0 |m Ledesma, S.; Laboratorio de Procesado de Imágenes, Departamento de Física 'J J Giambiagi', Pabellón I, Ciudad Universitaria, (1428) Buenos Aires, Argentina 
504 |a Vander Lugt, A.B., (1964) IEEE Trans. Inf. Theory, 10 (2), p. 139 
504 |a Weaver, C.S., Goodman, J.W., (1966) Appl. Opt., 5, p. 1248 
504 |a Vijaya Kumar, B.V.K., Bahri, Z., (1989) Appl. Opt., 28 (2), p. 250 
504 |a Horner, J., Gianino, P., (1984) Appl. Opt., 23 (6), p. 812 
504 |a Ph, R., (1991) Opt. Lett., 16 (11), p. 829 
504 |a Oktem, R., Yaroslavsky, L., Egiazarian, K., Signal processing IX theories and applications (1998) Proc. Eusipco-98, p. 2269 
504 |a Shaick, B.Z., Ridel, L., Yaroslavsky, L., A hybrid transform method for image denoising (2000) EUSIPCO2000, X European Signal Processing Conf. 
504 |a Yaroslavsky, L., Lopez-Coronado, O., Campos, J., (1998) Opt. Lett., 23 (14), p. 1129 
504 |a Maestre, R., García, J., Ferreira, C., (1997) Opt. Commun., 133 (1-6), p. 401 
504 |a Kober, V., Yaroslavsky, L.P., Campos, J., Yzuel, M., (1994) Opt. Lett., 19 (13), p. 978 
504 |a Lin, L.-C., Cheng, C.-J., (2004) Opt. Commun., 233 (4-6), p. 283 
504 |a Daugman, J., (1988) IEEE Trans. Acoust. Speech Signal Process., 36 (7), p. 1169 
504 |a Mazzaferri, J., Ledesma, S., Iemmi, C., (2003) J. Opt. A: Pure Appl. Opt., 5 (4), p. 425 
504 |a Moreno, I., Ahouzi, E., Campos, J., Yzuel, M., (1997) Appl. Opt., 36 (29), p. 7428 
504 |a Fodor, I., Kamath, C., (2003) J. Electron. Imaging, 12 (1), p. 151 
504 |a Yu, F.T.S., (1983) Optical Information Processing 
504 |a Campos, J., Turon, F., Yaroslavsky, L., Yzuel, M., (1991) Int. J. Opt. Comput., 2 (4), p. 341 
504 |a Vargas, A., Campos, J., San Martín, C., Vera, N., (2003) Opt. Laser Eng., 40 (1-2), p. 67 
504 |a Márquez, A., Campos, J., Yzuel, M.J., Moreno, I., Davis, J., Iemmi, C., Moreno, A., Robert, A., (2000) Opt. Eng., 39 (12), p. 3301 
504 |a Márquez, A., Iemmi, C., Moreno, I., Davis, J., Campos, J., Yzuel, M., (2001) Opt. Eng., 40 (11), p. 2558 
506 |2 openaire  |e Política editorial 
520 3 |a When a scene contaminated with noise has to be recognized by using an optical correlator, the output plane may be strongly affected by noise, yielding mistaken results. Different strategies have been developed to overcome this problem. In this paper we present a method that applies the thresholding of the wavelet coefficients to perform recognition tasks with scenes contaminated with additive noise. The method is implemented by using a Vander Lugt correlator architecture operating with liquid crystal displays. A unique filter is designed to accomplish the recognition and the denoising processes in a simultaneous way. The function to be recognized is decomposed into sub-bands based on the Gabor decomposition, in the frequency plane. The hard thresholding operation is performed and the threshold is generated with accurate support functions in the filter plane. The criterion for the threshold selection is chosen to optimize the signal-to-noise ratio in the output plane. As examples, numerical simulations and experimental results for the correlation plane are shown. We also compare some quality parameters with classical filters. © 2005 IOP Publishing Ltd.  |l eng 
593 |a Laboratorio de Procesado de Imágenes, Departamento de Física 'J J Giambiagi', Pabellón I, Ciudad Universitaria, (1428) Buenos Aires, Argentina 
690 1 0 |a DENOISING 
690 1 0 |a OPTICAL IMAGE PROCESSING 
690 1 0 |a PATTERN RECOGNITION 
690 1 0 |a WAVELETS 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a IMAGE PROCESSING 
690 1 0 |a OPTICAL CORRELATION 
690 1 0 |a OPTICAL FILTERS 
690 1 0 |a OPTICAL RESOLVING POWER 
690 1 0 |a SIGNAL TO NOISE RATIO 
690 1 0 |a DENOISING 
690 1 0 |a GABOR DECOMPOSITION 
690 1 0 |a OPTICAL IMAGE PROCESSING 
690 1 0 |a WAVELETS 
690 1 0 |a PATTERN RECOGNITION 
700 1 |a Ledesma, Silvia Adriana 
773 0 |d 2005  |g v. 7  |h pp. 296-302  |k n. 7  |p J Opt A Pure Appl Opt  |x 14644258  |w (AR-BaUEN)CENRE-5726  |t Journal of Optics A: Pure and Applied Optics 
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856 4 0 |u https://doi.org/10.1088/1464-4258/7/7/006  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_14644258_v7_n7_p296_Mazzaferri  |y Handle 
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