R. A. Paringer, Ya. Donon, A. V. Kupriyanov, “Modification of blurred image matching method”, Computer Optics, 2020, Volume 44, Issue 3,Pages <nobr>441

This article is cited in 3 papers

NUMERICAL METHODS AND DATA ANALYSIS

Modification of blurred image matching method

R. A. Paringer^ab, Ya. Donon^ab, A. V. Kupriyanov^ba

^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

DOI: 10.18287/2412-6179-CO-712