首页> 外文会议>The 9th Congress of the International Colour Association Jun 24-29, 2001 Rochester, New York USA >Uniformities in OSA-UCS and in NCS tested by color difference prediction based on principal hue components
【24h】

Uniformities in OSA-UCS and in NCS tested by color difference prediction based on principal hue components

机译:通过基于主色调成分的色差预测测试OSA-UCS和NCS中的均匀性

获取原文
获取原文并翻译 | 示例

摘要

The OSA uniform color system is a 3-D collection of color samples according to the regular rhombohedral structure in which each color is surrounded by its 12 nearest neighbors, all perceptually equally different (local uniformity). The Swedish NCS system is a 3-D collection of color samples that vary gradually in each of the three perceptual attributes. It is not clear that this arrangement implies all neighboring pairs along the respective coordinates being perceptually equally different (local uniformity). Of pairs (j, k) of interest, predicted color differences d_(jk) were calculated that have the following property. Suppose an observer selects a pair of Munsell grays (Va, Vb) that matches in size with the color difference between (j, k), then d_(jk) = | Va-Vb | is predicted by d_(jk) , on the average, with error of 0.34 in Munsell V-unit. Variation of d_(jk) in this unit was in the order of 0.22V for nearest neighboring pairs (j, k) in various cleavage planes of OSA-UCS and in the order of 0.11V for neighboring pairs (j, k) along s-coordinate and c-coordinate in sheets with fixed hue of NCS. Both were well within the prediction error range, but some systematic trends in values of d_(jk) were found.
机译:OSA均匀颜色系统是根据规则菱形结构的颜色样本的3D集合,其中每种颜色被其12个最近的邻居包围,所有这些邻居在感知上均相等(局部均匀性)。瑞典的NCS系统是3D颜色样本的集合,这些样本在三个感知属性中的每个属性中都逐渐变化。尚不清楚这种布置是否意味着沿着相应坐标的所有相邻对在感知上都相等地不同(局部均匀性)。在感兴趣的对(j,k)中,计算具有以下特性的预测色差d_(jk)。假设观察者选择一对孟塞尔灰度(Va,Vb),它们的大小与(j,k)之间的色差匹配,则d_(jk)= | Va-Vb |平均由d_(jk)预测,孟塞尔V单元的误差为0.34。在OSA-UCS的各种分裂平面中,最接近的相邻对(j,k)的d_(jk)变化量约为0.22V,沿s的相邻对(j,k)的变化量约为0.11V。 NCS固定色调的图纸中的-坐标和c坐标。两者都在预测误差范围之内,但是发现了d_(jk)值的一些系统趋势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号