Title :
Optimal target location in multichannel images
Author :
Guillaume, Mireille ; Campos, Juan
Author_Institution :
Fresnel Inst., ENSPM, Marseille, France
Abstract :
We propose algorithms for the location of a known target in a multichannel image, optimal for the multichannel model of the image, and optimal for the noise model of the image. We consider two noise models: Gaussian additive, and Gaussian non-overlapping. We show on simulations the improvement due to the multichannel model of the image, compared with the monochannel case. For simulations, the multichannel images are color images
Keywords :
Gaussian noise; image colour analysis; maximum likelihood estimation; object recognition; optimisation; telecommunication channels; Gaussian additive noise; Gaussian nonoverlapping noise; MLE; algorithms; color images; maximum Likelihood estimation; monochannel model; multichannel images; multichannel model; multichannel target recognition; noise model; optimal target location; simulations; Additive noise; Background noise; Gaussian noise; Image analysis; Layout; Maximum likelihood detection; Maximum likelihood estimation; Pixel; Signal analysis; Signal processing;
Conference_Titel :
Image and Signal Processing and Analysis, 2000. IWISPA 2000. Proceedings of the First International Workshop on
Conference_Location :
Pula
Print_ISBN :
953-96769-2-4
DOI :
10.1109/ISPA.2000.914898
