Reduction of computational costs for identification of the patch location on large-sized images

Автор: Tashlinskii A.G., Kaveev I.N., Khoreva A.M.

Журнал: Инфокоммуникационные технологии @ikt-psuti

Рубрика: Новые информационные технологии

Статья в выпуске: 3 т.8, 2010 года.

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The use of the pseudo-gradient method for solving the problems of pattern search, identification and parameter estimation of image patch location is proposed. At that the reference and sought image patches may have relative spatial and brightness deformations. The structural optimization of search algorithms is used for computational costs reduction. The expressions for calculation of the image patch erroneous choice probability and the probability distribution of the offered algorithms iteration number are found.

Image processing, pseudo-gradient algorithms, objective function, reduction of computational costs, template matching, estimation of geometrical image deformations

Короткий адрес: https://sciup.org/140191419

IDR: 140191419

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