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  5. A method for identification of regression model for irregular object image brightness distribution

A method for identification of regression model for irregular object image brightness distribution

К.S. Smelyakov
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The structural and parametric identification methods are proposed for a regression model of homogenous brightness distribution of irregular object image. Solving of this problem provides the grounds for an effective segmentation by virtue of adaptation of the regression model to variations of photometric parameters of object images in a broader band of parameter values.
Keywords: image, segmentation, model, identification, regression, adaptation, adequacy
Reference:
Smeliakov, K.S. (2014), "Metod ydentyfykatsyy rehressyonnoi modely raspredelenyia yarkosty yzobrazhenyia obъekta nerehuliarnoho vyda" [A method for identification of regression model for irregular object image brightness distribution], Scientific Works of Kharkiv National Air Force University, Vol. 1(38), pp. 158-160.