Development of Temperature Convert Algorithms by Image Processing
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Abstract
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.
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