Stochastic object detection using its image with unknown parameters in the presence of background
DOI:
https://doi.org/10.3103/S0735272714020046Keywords:
Gaussian image, background, spatial noise, unknown area, unknown intensity, applicative model, detection efficiencyAbstract
A specific case where the image has the unknown area, regular component, and also the random component intensity has been considered. A maximum likelihood algorithm for the detection of stochastic image with unknown parameters was synthesized. Characteristics of the algorithm were obtained, and the impact of image characteristics and applicative background on the detection efficiency was analyzed.
References
BYCHKOV, A.A.; PON’KIN, V.A. Detection of images of spatially extended objects shading the background. Avtometriya, n.4, p.33-40, 1992.
PERETYAGIN, G.I. Representation of images using the Gaussian random fields. Avtometriya, n.6, p.42-48, 1984.
TRIFONOV, A.P.; PRIBYTKOV, Y.N. Detection of objects with unknown area in the presence of background. Avtometriya, v.41, n.3, p.24-39, 2005.
TRIFONOV, A.P.; PRIBYTKOV, Y.N. Area estimation of stochastic objects from an image containing a background. Optoelectron. Instrum. Data Process., v.46, n.2, p.142-148, 2010. doi: http://dx.doi.org/10.3103/S8756699010020056">http://dx.doi.org/10.3103/S8756699010020056.
TRIFONOV, A.P.; PRIBYTKOV, Y.N. The detection of stochastic image with unknown parameters. Izv. Vyssh. Uchebn. Zaved., Radioelektron., v.45, n.9, p.10-20, 2002 [in Russian]. Radioelectron. Commun. Syst., v.45, n.9, p.8-18, 2002.
AKIMOV, P.S.; BAKUT, P.A.; BOGDANOVICH, V.A.; ET AL. Theory of Signal Detection. Moscow: Radio i Svyaz’, 1984 [in Russian, ed. by P. A. Bakut].
TRIFONOV, A.P.; NECHAEV, E.P.; PARFENOV, V.I. Detection of Stochastic Signals with Unknown Parameters. Voronezh: VGU, 1991 [in Russian, ed. by A. P. Trifonov].
TIKHONOV, V.I.; MIRONOV, M.A. Markov Processes. Moscow: Radio i Svyaz’, 1977 [in Russian].
