Paper
6 March 2015 Conversion of infrared grey-level image into temperature field by polynomial curve fitting
Terry Yuan-Fang Chen, Ming-Hsuan Kuo
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94461B (2015) https://doi.org/10.1117/12.2180748
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
A simple method to convert the infrared gray-level image into temperature field is developed by using least squares polynomial curve fitting. In this method, the correspondence between the infrared gray-level image and the associated temperature field for various emissivity values and temperature range is analyzed first. Then a second-order polynomial can be applied to fit the correspondence between the gray-level image and the associated temperature field as a function of emissivity. For multiple conversions of temperature ranges, the constants of the fitted polynomial in multiple ranges can be further fitted as a function of emissivity and temperature range. Test of the method on a cup of hot water was done. An average error less than 1% was achieved between the proposed method and the commercial ones.
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Terry Yuan-Fang Chen and Ming-Hsuan Kuo "Conversion of infrared grey-level image into temperature field by polynomial curve fitting", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94461B (6 March 2015); https://doi.org/10.1117/12.2180748
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KEYWORDS
Temperature metrology

Infrared imaging

Infrared radiation

Thermography

Infrared cameras

Cameras

Defect detection

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