24 October 2017 Calculation of color difference and measurement of the spectrum of aerosol based on human visual system
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Proceedings Volume 10461, AOPC 2017: Optical Spectroscopy and Imaging; 104610X (2017) https://doi.org/10.1117/12.2284666
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
In order to solve the problem of the quantitative test of spectrum and color of aerosol, the measurement method of spectrum of aerosol based on human visual system was proposed. The spectrum characteristics and color parameters of three different aerosols were tested, and the color differences were calculated according to the CIE1976-L*a*b* color difference formula. Three tested powders (No 1# ,No 2# and No 3# ) were dispersed in a plexglass box and turned into aerosol. The powder sample was released by an injector with different dosages in each experiment. The spectrum and color of aerosol were measured by the PRO 6500 Fiber Optic Spectrometer. The experimental results showed that the extinction performance of aerosol became stronger and stronger with the increase of concentration of aerosol. While the chromaticity value differences of aerosols in the experiment were so small, luminance was verified to be the main influence factor of human eye visual perception and contributed most in the three factors of the color difference calculation. The extinction effect of No 3# aerosol was the strongest of all and caused the biggest change of luminance and color difference which would arouse the strongest human visual perception. According to the sensation level of chromatic color by Chinese, recognition color difference would be produced when the dosage of No 1# powder was more than 0.10 gram, the dosage of No 2# powder was more than 0.15 gram, and the dosage of No 3# powder was more than 0.05 gram.
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Mengyan Dai, Jianghai Liu, Jianlin Cui, Chunsheng Chen, Peng Jia, "Calculation of color difference and measurement of the spectrum of aerosol based on human visual system", Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 104610X (24 October 2017); doi: 10.1117/12.2284666; https://doi.org/10.1117/12.2284666
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