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Methodological concepts of model identification for image segmentation in variable data acquisition conditions

I.V. Ruban, К.S. Smelyakov, N.I. Naumenko
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In order to increase a stability of segmentation in variable data acquisition conditions the methodological concepts of model identification are proposed where for the templates the photo-realistic images of the considered objects and scenes are used.
Keywords: identification, model, standard, image, segmentation
Reference:
Ruban, I.V., Smeliakov, K.S. and Naumenko, N.I. (2009), “Metodologicheskie osnovy identifikatsii modeli dlia resheniia zadachi segmentatsii izobrazhenii v peremennykh usloviiakh polucheniia dannykh”, Information Processing Systems, Vol. 1(75), pp. 117-120.