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http://dx.doi.org/10.5762/KAIS.2019.20.7.127

Robust Influenza Analysis Algorithm Based on Image Processing under Varying Radiometric Conditions  

Lee, Ji Eun (Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.7, 2019 , pp. 127-132 More about this Journal
Abstract
Influenza is an infectious disease caused by an influenza virus with symptoms of high fever and headache. Since influenza especially mutates into multiple subtypes in the carrier's body, it is a serious threat for mankind such as Spanish influenza. The treatment of influenza infection mandates the use of antiviral drugs through rapid diagnostic test. Generally, immunochromatography-based rapid influenza diagnostic tests are used for rapid diagnosis in an emergency. In this paper, we propose an influenza analysis algorithm based on image processing to examine a large number of patients suspected of being infected with influenza. Also, we propose a robust influenza analysis algorithm based on the joint cumulative mass function under varying radiometric conditions such as illuminant and exposure differences. Simulation results show that the proposed algorithm significantly reduces the error of influenza diagnosis under different radiometric conditions.
Keywords
Influenza; Influenza Diagnostic Test; Image Processing; Immunochromatography; Immunoassay;
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