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Fang Kui
Hunan Agricultural University

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Multi-emissivity setting in thermal imaging based on visible-light image segmentation Ding De-hong; Fang Kui; Yu He-xiang; Qian Ke-jun; Chen Yi-neng; Cui Dai-jun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Emissivity is an accuracy influencing factor during infrared temperature measurement which focusing on regular geometry in laboratory under the condition of single emissivity. But in practical application, the target is often irregular with multi-emissivity,, and if following "idealized" method in laboratory, it will lead to inevitable error. This paper presents a method for a complex target object with the collection of multiple emissivities in infrared image after measurement. Both visible and infrared images were collected in the same field of view at the same time using binocular video to segment target regionally through visible image. The emission rate in corresponding region was set based on regional growing algorithm. Heat conduction equation was used as a reference to smooth the boundary area. After testing image evaluation parameters accordingly, results obtained via this infrared temperature measurement method are closer to the true value and precise compared with conventional ones judged from objective measurements. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3913
Co-Authors Chen Yi-neng Cui Dai-jun Ding De-hong Qian Ke-jun Yu He-xiang