Measuring the Similarity in 2D: the Case Study of the Extremely Low Frequency Magnetic Field

被引：0

作者：

Amelio, Alessia ^{[1
]}

Babic, Radmila Jankovic ^{[2
]}

Draganov, Ivo R. ^{[3
]}

机构：

[1] Univ G dAnnunzio, Pescara, Italy

[2] Serbian Acad Arts & Sci, Math Inst, Belgrade, Serbia

[3] Tech Univ Sofia, Sofia, Bulgaria

来源：

2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH) | 2022年

关键词：

2D arrays; similarity measure; pattern matching; magnetic field; laptop computer; REGISTRATION;

D O I：

10.1109/INFOTEH53737.2022.9751303

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces a new patch-based similarity measure for 2D arrays which is computed by considering not only the value but also the position of the elements in the bi-dimensional arrays. The similarity is evaluated as the mean area of the largest square patches which are in common at the same position in the two arrays. The proposed approach is tested in a case study where considering the position of the patches in the bi-dimensional space is very important. Specifically, it is used as a performance measure in predicting the magnetic field levels generated by a laptop computer and represented as a danger map in the bi-dimensional space. The obtained results are very promising.

引用

页数：6

共 19 条

[1]

Amelio Alessia, 2020, International Journal of Reasoning-based Intelligent Systems, V12, P60

[2] A patch-based measure for image dissimilarity [J].