Synthesis of Gradient Algorithms with the Minimum Systematic Error for Estimating Directional Fields
I. S. Gruzman, V. B. Karpushin
Keywords: directional field, gradient algorithm, mask differentiating filter
Pages: 2-11
Abstract
A method is proposed for constructing noise-resistant mask differentiating filters minimizing systematic errors in estimating directional fields by a gradient algorithm. A comparative analysis of the accuracy of gradient algorithms was performed by computer modeling It is shown that a decrease in the systematic error leads to a considerable increase in the accuracy of directional field estimation.
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