Detection theory approach to multichannel pattern location
Guillaume, M. (Ecole Nationale Supérieure de Physique de Marseille)
Réfrégier, Ph. (Ecole Nationale Supérieure de Physique de Marseille)
Campos Coloma, Juan (Universitat Autònoma de Barcelona. Departament de Física)
Lashin, Vladimir (Universitat Autònoma de Barcelona. Departament de Física)

Data:	1997
Resum:	We propose and assess new algorithms for detecting and locating an object in multichannel images. These algorithms are optimal for additive Gaussian noise and maximize the likelihood of the observed images. We consider two cases, in which the illumination of the target and the variance of the noise in each channel are either known or unknown. We show that in the latter case the algorithm provides accurate estimates of variance and luminance. These algorithms can be viewed as postprocessed versions of the correlation of a reference with the scene image in each channel.
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Òptica
Publicat a:	Optics letters, Vol. 22, No. 24 (15 December 1997) , p. 1887-1889, ISSN 0146-9592

DOI: 10.1364/OL.22.001887

3 p, 1.9 MB

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