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This article is cited in 3 scientific papers (total in 3 papers)
NUMERICAL METHODS AND DATA ANALYSIS
Modification of blurred image matching method
R. A. Paringerab, Ya. Dononab, A. V. Kupriyanovba a Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34
b IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151
Abstract:
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.
Keywords:
image matching, key points, feature extraction, algorithms, linear embedding.
Received: 04.03.2020 Accepted: 21.03.2020
Citation:
R. A. Paringer, Ya. Donon, A. V. Kupriyanov, “Modification of blurred image matching method”, Computer Optics, 44:3 (2020), 441–445
Linking options:
https://www.mathnet.ru/eng/co807 https://www.mathnet.ru/eng/co/v44/i3/p441
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Abstract page: | 149 | Full-text PDF : | 40 | References: | 15 |
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