Image Similarity Estimation Based on Ratio and Distance Calculation between Features

被引：7
|
作者：
Bohush, R. P. [1 ]
Ablameyko, S., V [2 ,3 ]
Adamovskiy, E. R. [1 ]
Savca, D. [4 ]
机构：
[1] Polotsk State Univ, Novopolotsk 211440, BELARUS
[2] Belarusian State Univ, Minsk 220030, BELARUS
[3] Natl Acad Sci Belarus, United Inst Informat Problems, Minsk 220012, BELARUS
[4] Petr & Gas Univ Ploiesti, Ploiesti 100680, Romania
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS | 2020年 / 30卷 / 02期
关键词：
comparison and discovery of images; similarity functions; localization of objects on images and video sequences;
D O I：
10.1134/S1054661820020030
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：147 / 159
页数：13
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