Back to Search Start Over

FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography

Authors :
Ayca Kirimtat
Enrique Herrera-Viedma
Ali Selamat
Ondrej Krejcar
Source :
BMC Bioinformatics, Digibug. Repositorio Institucional de la Universidad de Granada, instname, BMC Bioinformatics, Vol 21, Iss S2, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Background: In biomedicine, infrared thermography is the most promising technique among other conventional methods for revealing the differences in skin temperature, resulting from the irregular temperature dispersion, which is the significant signaling of diseases and disorders in human body. Given the process of detecting emitted thermal radiation of human body temperature by infrared imaging, we, in this study, present the current utility of thermal camera models namely FLIR and SEEK in biomedical applications as an extension of our previous article. Results: The most significant result is the differences between image qualities of the thermograms captured by thermal camera models. In other words, the image quality of the thermal images in FLIR One is higher than SEEK Compact PRO. However, the thermal images of FLIR One are noisier than SEEK Compact PRO since the thermal resolution of FLIR One is 160 × 120 while it is 320 × 240 in SEEK Compact PRO. Conclusion: Detecting and revealing the inhomogeneous temperature distribution on the injured toe of the subject, we, in this paper, analyzed the imaging results of two different smartphone-based thermal camera models by making comparison among various thermograms. Utilizing the feasibility of the proposed method for faster and comparative diagnosis in biomedical problems is the main contribution of this study.<br />The work and the contribution were supported by the SPEV project “Smart Solutions in Ubiquitous Computing Environments”, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic (under ID: UHK-FIM-SPEV-2019). Supported by the grant TIN2016-75850-R from the Spanish Ministry of Economy and Competitiveness with FEDER funds.

Details

ISSN :
14712105
Volume :
21
Database :
OpenAIRE
Journal :
BMC Bioinformatics
Accession number :
edsair.doi.dedup.....720909cb1e0c1b9812f9c6f328439004
Full Text :
https://doi.org/10.1186/s12859-020-3355-7