Abstract
The possibility of reducing the computational costs for recursive estimation of the parameters of interframe geometric deformations of images (IGDIs) by means of a structural optimization of algorithms is considered. This optimization is based on finding a subdomain of the domain of definition of the parameters that contains an extremum of a goal function (GF). A situation is analyzed when the domain of definition of the estimated parameters is several times greater than the operating range of the algorithms. Basic relations for the probability of erroneous choice of the subdomain and for discrete probability distributions of the number of iterations of an algorithm are found.
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Aleksandr Grigor’evich Tashlinskii. Born 1954. Graduated from Ul’yanovsk Polytechnical Institute in 1977. Received doctoral degree in 2000. Scientific interests: statistical analysis of images, in particular, estimation of spatiotemporal deformations of sequences of dynamic images. Author of more than 200 papers and one monograph. Member of the International Academy of Authors of Scientific Discoveries and Inventions and the Russian Academy of Natural Sciences. Awarded medals from these academies.
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Tashlinskii, A.G. Structural optimization of pseudogradient algorithms for estimating image parameters. Pattern Recognit. Image Anal. 16, 218–222 (2006). https://doi.org/10.1134/S1054661806020088
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DOI: https://doi.org/10.1134/S1054661806020088