Title :
Mathematical model of nongaussian vectorial signals and images
Author :
Gruzman, I.S. ; Kurilin, I.V.
Abstract :
In paper the approach to modeling heterogeneous signals and images is described. The example of multilevel piece-constant and binary images description is presented. For the description of the heterogeneous, phenomena, the <> random binary Markov process is used. Hence, procedure of detection of heterogeneous features is reduced to the filtration of <> signal. Results of the real images processing, based on the submitted models is presented.
Keywords :
Algorithm design and analysis; Amplitude estimation; Analytical models; Frequency estimation; Gaussian noise; Mathematical model; Object recognition; Optical distortion; Phase estimation; Radio navigation;
Conference_Titel :
Electronic Instrument Engineering Proceedings, 2004. APEIE 2004. 2004 7th International Conference on Actual Problems of
Conference_Location :
Novosibirsk, Russia
Print_ISBN :
0-7803-8476-8
