학술논문
Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods
Document Type
Conference
Source
2019 13th International Conference on Sensing Technology (ICST) Sensing Technology (ICST), 2019 13th International Conference on. :1-6 Dec, 2019
Subject
Language
ISSN
2156-8073
Abstract
While many infrared camera-specific properties are considered for practical application, the influence of the radiation distribution surrounding the measuring spot is often neglected for thermal cameras. However, this has a significant influence on the uncertainty of thermal imaging cameras when measuring absolute temperatures, referred to as the size-of-source effect. Since thermal cameras acquire information about the radiation distribution around a potential point of interest through their spatially resolved measurement, neighborhood pixels could be used to reduce the uncertainty. In this paper, a convolution filter is presented whose parameters are optimized with regard to the compensation of the size-of-source effect for two different infrared cameras. The results show that the filter can reduce the effect significantly for different object geometries or even at the border of a thermal image. The algorithm could be applied to infrared cameras as a post-processing step in the future.