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Modification of blurred image matching method
R.A. Paringer 1,2, Y. Donon 1,2, A.V. Kupriyanov 1,2

Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34,
IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151

 PDF, 869 kB

DOI: 10.18287/2412-6179-CO-712

Pages: 441-445.

Full text of article: Russian language.

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.

Paringer RA, Donon Y, Kupriyanov AV. Modification of blurred image matching method. Computer Optics 2020; 44(3): 441-445. DOI: 10.18287/2412-6179-CO-712.

The research was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant # 0777-2020-0017) and partially funded by RFBR, project number # 19-29-01135.


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