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Distribution of Color Names in Color Appearance Space

颜色名称在颜色外观空间中的分布

基本信息

批准号：
11650041
负责人：
YAGUCHI Hirohisa
金额：
$ 2.3万
依托单位：
Chiba University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650041/
关键词：
categorical color color appearance model CIECAM97s color rendering index カテゴリカル色色の見え

项目摘要

The CIE color rendering index is not based on the color appearance of the object but on the color differences between the objects under different illuminants. When we need to identify color of the object, however, it becomes important to know how color appearances of the object change according to the change of illuminant. In this study, 292 Munsell Color Samples under 11 illuminants. The illuminance was 1000 lux for all illuminants. Subjects were asked to sort samples into eleven basic color categories specified by Berlin and. Sorting of each color samples under each illuminant was repeated three times in different experimental sessions. The lightness J, the chroma C and the hue angle h defined by the CIECAM97s were calculated for all color samples sorted consistently in a same color name under each illuminant. The basic color name regions were plotted in the CIECAM97s space. Let the area of each color name regions Si. The subscription i corresponds to each color name. Eighty color chips which belong in elsewhere of eleven basic categories under the D65 illuminant are selected as reference color samples. At first, color chips belong in the same color category under the D65 illuminant were classified. Then the area St in the CIECAM97s space of these classified samples under the test light source are calculated. The overlap area between Si and St, (Sr∩St) are determined. The index of categorical color rendering proposed here was defined as 100 (Si∩St)/St. The order from best to worst rated by the index of categorical color rendering was not completely agreed with the general color-rendering index (Ra) specified by the CIE.

CIE显色指数不是基于对象的颜色外观，而是基于不同光源下对象之间的颜色差异。然而，当我们需要识别对象的颜色时，了解对象的颜色外观如何随着光源的变化而变化变得重要。在这项研究中，292个孟塞尔颜色样本在11个光源下。所有光源的照度均为1000勒克斯。受试者被要求将样本分类为11个基本颜色类别，这些类别是柏林和。在不同的实验过程中，在每个光源下对每个颜色样本进行三次分类。计算由CIECAM97S定义的亮度J、色度C和色调角度h，这些色样在每个光源下以相同的颜色名称一致地分类。基本颜色名称区域绘制在CIECAM97S空间中。让每个颜色的区域命名为区域Si。订阅i对应于每个颜色名称。选择了D65光源下属于11个基本类别中的其他类别的80个色片作为参考色样。首先对D65光源下属于同一颜色类别的色片进行分类。然后计算这些分类样品在测试光源下在CIECAM97S空间中的区域ST。确定了Si和St之间的重叠区(sr∩St)。本文提出的分类显色指数定义为100(Si∩St)/St，分类显色指数从好到差的顺序与国际标准化委员会规定的一般显色指数(Ra)不完全一致。