Modification of blurred image matching method
Автор: Paringer Rustam Alexandrovich, Donon Yann, Kupriyanov Alexander Victorovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Численные методы и анализ данных
Статья в выпуске: 3 т.44, 2020 года.
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The article proposes a modification of the Blurred Image Matching (BIM) method, a key point selection method in images, thus solving a problem of their accurate comparison. A new approach for blobs selection and comparison is proposed. The use of these modifications allows us to achieve an increase in the proportion of correctly matched pairs of images by 30.2% compared to the basic method when working with noisy data.
Image matching, key points, feature extraction, algorithms, linear embedding
Короткий адрес: https://sciup.org/140250009
IDR: 140250009 | DOI: 10.18287/2412-6179-CO-712
