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Pattern Recognition and Image Analysis
Published in: Pattern Recognition and Image Analysis 2/2020

01-04-2020 | SPECIAL ISSUE

Image Similarity Estimation Based on Ratio and Distance Calculation between Features

Authors: R. P. Bohush, S. V. Ablameyko, E. R. Adamovskiy, D. Savca

Published in: Pattern Recognition and Image Analysis | Issue 2/2020

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Abstract

Some similarity functions for comparing the features of objects in the processing of static images and video sequences are proposed. These functions provide the possibility to find the normalized similarity value and are determined by calculating the ratios between the minimum and maximum values for all the pairs of analyzed features. To find the complex value characterizing the similarity of compared images as a whole, the summation or multiplication of calculated ratios is used. It is proposed to take into account the distances between features for such types of calculations. Some results of experimental studies on the comparison of the qualitative characteristics of similarity functions, their robustness against different types and levels of noises, and the possibility of the precise localization of objects on an image for the case when the brightness levels of pixels are used as features are presented.
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Metadata
Title
Image Similarity Estimation Based on Ratio and Distance Calculation between Features
Authors
R. P. Bohush
S. V. Ablameyko
E. R. Adamovskiy
D. Savca
Publication date
01-04-2020
Publisher
Pleiades Publishing
Published in
Pattern Recognition and Image Analysis / Issue 2/2020
Print ISSN: 1054-6618
Electronic ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820020030

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