摘要
美术馆LED照明的视觉评价指标数量众多且相似度较高。我们收集了大量美术馆的视觉评价数据,进行大数据分析,旨在找到若干个代表性强且相互概念不重复的视觉评价指标,并探究LED照明的质量参数与视觉评价间的关系,测试现有的混合颜色质量参数对视觉评价的预测效果。结果发现,混合参数均能较好地预测舒适度、清晰度,而且模型中加入CCT能有效提高预测效果,说明CCT对视觉评价的影响很大。
There are a large number of visual appreciation indicators of LED lighting in the gallery, and the similarity is high. We collected a rich supply of visual data, and carried out big data analysis, aimed to find some representative and non-repetitive visual appreciation indicators, and to explore the relationship between the colour quality indices of LED light sources and visual appreciation, and to test the prediction effect of the existing combined colour quality metrics. The results showed that the combined metrics can well predict comfort and visibility, and the addition of CCT in the model can effectively improve the prediction ettect, which showed that CCT has a great influence on the visual appreciation.
作者
沈佳敏
翟其彦
罗明
SHEN Jiamin;ZHAI Qiyan;LUO Ming(State Key Laboratory of Modern Optical Instrumentation,Zhejiang University,Hangzhou 310027,China;School of Design,Leeds University,Leeds LS29JT,UK)
出处
《照明工程学报》
2018年第5期1-9,19,共10页
China Illuminating Engineering Journal
基金
2017年度文化行业标准化研究项目"美术馆照明质量评估方法与体系的研究"(批准号:WH/Y02-2017)
