Development of Temperature Convert Algorithms by Image Processing

Main Article Content

Witthaya Boonsuk Watthanachai Boonsuk


The objective of this research was to develop algorithmic software to convert thermal image spectrum from a thermography into temperature. This process used an analy-sis of intensity of spectral colors from the thermography emphasizing the average amount of redness and greenness intensity to identify the temperature. To test the ef-fectiveness of the newly developed software performance, data ranges from 9 groups of thermal image samples classified by their quality were used. Each of the 9 groups comprised 10 different image files creating 90 images in total. The results showed that the software could perform very well in term of accuracy and precision. For all 9 groups; the temperature of every individual group, i.e. group 1, 2, 3, 4, 5, 6, 7, 8, and 9 was at 60, 55, 50, 45, 40, 35, 30, 25, and 20 deg C respectively; each group showed an average accuracy of 90%. As a consequence, the total average accuracy for all 9 groups was 90%. Overall, the newly developed software is an efficient tool for spectral colors analysis at high accuracy and precision and suitable for applica-tion processing.


Article Details

Engineering Research Articles


[1] A. Rogalski, “Recent progress in infrared detector technologies infrared Phys,” Infrared Physics & Technology, vol. 54, no. 3, pp. 136–154, 2011.

[2] E. F. J. Ring, “Quality control in infrared thermography,” in Recent Advances in Medical, Thermology, New York: Plenum Press, 1984, pp.185–94.

[3] L. S. Chan, G. T. Cheung, I. J. Lauder, and C. R. Kumana, “Screening for fever by remote–sensing infrared thermographic camera,” Journal of Travel Medicine, vol.11 no. 5, pp. 27–39, 2004.

[4] Y. Okada, T. Kawamata, A. Kawashima, and T. Hori, “Intraoperative application of thermography in extra cranial-intracranial bypass surgery,” Neurosurgery, vol. 60, no. 2, pp. 362, 2007.

[5] C. Meola and G. M. Carlomagno, “Recent advances in the use of infrared thermography,” Measurement Science and Technology, vol. 15, no. 9, pp. 27–58, 2004.

[6] Y. Tuppadung, “Infrared camera technology,” Graduate School, Nakhon Ratchasima College, Nakhon Ratchasima, Thailand, 2011.

[7] T. L. Willimas, “Thermal imaging cameras and their component parts,” in Thermal Imaging Cameras: Characteristics and Performance, CRC Press, 2009, pp. 7–33.

[8] J. K. A. Alderson and E. F. J. Ring, “‘Sprite’ high resolution thermal imaging system,” Thermology, vol. 1, pp. 110–114, 1995.

[9] Jackson Electronics. (2003, December). Themal Imaging. Jackson Electronics Ltd., Newark, England [Online]. Available:

[10] P. K. Kaiser, “The joy of visual perception,” (2016 January), [Online]. Avaiable: eye/spectru.htm.

[11] Testo. (2019). Prototype heat image. Testo SE & Co. KGaA, Alton Hampshire, United Kingdom [Online]. Available:

[12] J. K. A. Alderson and E. F. J. Ring, “‘Sprite’ high resolution thermal imaging system,” Thermology,” vol. 1, pp. 110–114, 1985.

[13] R. C. Simpson, H. C. McEvoy, G. Machin, K. Howell, M. Naeem, P. Plassmann, F. RingP. Campbell, C. Song, J. Tavener, and I. Ridley, “In-field-of-view thermal image calibration system for medical thermography applications,” International Journal of Thermophysics, vol. 29, no. 3, pp. 1123–1130, 2008.

[14] F. Liebel, S. Kaur, E. Ruvolo, N. Kollias, and M. D. Southall, “Irradiation of skin with visible light induces reactive oxygen species and matrixdegrading enzymes,” Journal of Investigative Dermatology, vol. 132, no.7, pp. 1901–1907, 2012.

[15] Technology Promotion Association (Thailand-Japan). (2016, July). Infrared Thermometer. Technology Promotion Association (Thailand-Japan). Bangkok, Thailand [Online]. Avaiable:

[16] P. Pornchaloempong and N. Nunak. (2012, July). Accuracy and Precission. Food Network Solution Co., Ltd. Bangkok Thailand [Online]. Avaiable:

[17] J. R. Taylor, An Introduction to Error Analysis: The an introduction to error analysis the study of Uncertainties in Physical Measurements, 2nd edition. University Science Books, 1997, pp. 128– 129.

[18] Accuracy (trueness and precision) of measurement methods and results--Part 1: General principles and definitions, ISO 5725-1, 1994.

[19] Precision of test methods. Guide for the determination of repeatability and reproducibility for a standard test method, BS 5497-1, 1979.

[20] CE. Metz, “Basic principles of ROC analysis,” Semin Nucl Med, vol.8, no. 4, pp. 283–298, 1978.