Abstract:
The purpose of the study was to develop an algorithm for High-Temperature Patients Using thermal images. This process used spectral intensity analysis to determine the range of spectral intensity. The averaging intensity level of the spectrum of colors emphasized two colors, including red and green. They were applied to analyze the temperature analysis of a thermal camera. The results of the software proficiency gathered from 9 test groups consisted of 5 images per group. The results demonstrated that testing samples of group 1, at 60 degree celsius; group 2, at 55 degree celsius; test group 3, at 50 degree celsius; test group 4, at 45 degree celsius; test group 5, at 40 degree celsius; test group 6, at 35 degree celsius; test group 7, at 30 degree celsius; and test group 8, at 25 degree celsius, can produce an output with an accuracy of 80 percent. In conclusion, the novelty of this research is to determine the chromaticity of the value retrieved from the image pixel level. The overview of the developing system proficiency was at a good level. It indicated that the comparison of the spectrum color group was at a considerably precise level. The system was appropriate for further application in the analyzing works.
King Mongkut's University of Technology North Bangkok. Central Library