Modification of blurred image matching method

Paringer Rustam Alexandrovich Donon Yann Kupriyanov Alexander Victorovich

Journal: Компьютерная оптика @computer-optics

Section: Численные методы и анализ данных

Article in issue: 3 т.44, 2020.

Free access

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

Short address: https://sciup.org/140250009

IDS: 140250009   |   DOI: 10.18287/2412-6179-CO-712