The Genetic Algorithm in the Application of the LED Light Source Spectral Matching Technology

Ruting, 甘汝婷 Gan; Zhenning, 郭震宁 Guo; Jieben, 林介本 Lin; Maojin, 曾茂进 Zeng; Feifei, 杨菲菲 Yang; Wenping, 颜稳萍 Yan; Muchuan, 林木川 Lin

doi:10.3788/gzxb20144307.0730003

Cited by 5 publications

(3 citation statements)

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“…The National Institute of Standards and Technology (NIST) was the first to develop a spectrally tunable integrating sphere light source in 2006 [6] , using an iterative algorithm as the spectral matching algorithm. In the literature, genetic algorithms are applied to LED spectral matching techniques to perform matching of CIE-D65 spectrum, AM1.5 standard solar spectrum [7] . In addition, the model of joint-density-ofstate is adopted as the spectral radiation model of monochromatic LEDs to analyze the fitting effect of different combinations on the daylight spectrum [8] .…”

Section: Introductionmentioning

confidence: 99%

Spectral fitting study of the CIE standard illuminant D65 based on monochromatic LED

Zhang,

He,

et al. 2023

Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023)

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The color assessment cabinet has important applications in the color fields of textiles, pigments, printing and dyeing, packaging, and photography. In order to achieve the spectral matching of CIE standard illuminant D65 using monochromatic LEDs, in this paper, we use genetic algorithm (GA) as the spectral matching algorithm, measure the absolute spectra of monochromatic LEDs and establish a database, optimize the parameters of the algorithm through simulation experiments, and optimize the combination of monochromatic LEDs using decreasing experiments to achieve the purpose of using fewer kinds of monochromatic LEDs to obtain a better fit with the target spectrum. The results show that the correlation indices R^2 and RMSE of 30 monochromatic LED combinations fitting D65 spectrum are 0.905 and 0.946, respectively, with high matching degree of D65 spectrum; 16 LED combinations fitting D65 spectrum are proposed by decreasing experiments, which have good fitting effect and reduce the difficulty of engineering practice.

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Section: Introductionmentioning

confidence: 99%

Spectral fitting study of the CIE standard illuminant D65 based on monochromatic LED

Zhang,

He,

et al. 2023

Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023)

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“…Liu Hong-xing [6] et al adopted the simulated annealing algorithm as the spectral matching algorithm to achieve the fitting of the equal energy spectral distribution. Gan Ruting [7] et al realized source spectral fitting by taking simple genetic algorithm as the spectral matching algorithm and solving overdetermined equations.…”

Section: Introductionmentioning

confidence: 99%

Parameters extraction for the DFB laser spectrum based on adaptive differential evolution algorithm

Sang,

Niu,

Gao

et al. 2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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“…Youli Hu [8] et al used L-M algorithm as a spectral matching algorithm for spectral fitting on the basis of least square method. Hongxing Liu [9] , Ruting Gan [10] and Lingyun Wang [11] et al used simulated annealing algorithm, genetic algorithm and particle swarm optimization as spectral fitting algorithms directly. Yubao Zhang [12] and Zhen Cheng [13] et al used effective set integration algorithm and adaptive difference algorithm to solve the target spectrum.…”

Section: Introductionmentioning

confidence: 99%

Research on spectral matching algorithm of hybrid light source in star simulator

Li,

Wang,

2023

Third International Computing Imaging Conference (CITA 2023)

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In order to realize the high-precision simulation of star spectrum by star simulator, firstly, the integrated sphere light source mixed with LED and xenon lamp is used to output stable star simulation spectrum, and then an improved genetic algorithm is proposed as the algorithm to solve spectral matching, combining the crossover probability and mutation probability of genetic algorithm with the iteration number, so that it can find the optimal solution by self-evolution. Finally, the Gaussian distribution curve is used as the spectral model of LED, and the improved genetic algorithm is used to simulate the star spectrum of the integrating sphere mixed light source, and compared with simulated annealing algorithm, genetic algorithm and particle swarm optimization algorithm. The simulation results show that the improved genetic algorithm is better than the other three algorithms in spectral matching, and the maximum relative error of star spectral curve matching with color temperature of 2700K is 7.68% in the range of 400 nm-900 nm.

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The Genetic Algorithm in the Application of the LED Light Source Spectral Matching Technology

Cited by 5 publications

References 0 publications

Spectral fitting study of the CIE standard illuminant D65 based on monochromatic LED

Spectral fitting study of the CIE standard illuminant D65 based on monochromatic LED

Parameters extraction for the DFB laser spectrum based on adaptive differential evolution algorithm

Research on spectral matching algorithm of hybrid light source in star simulator

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