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» Ganz-Griesser 白人指数

Ganz-Griesser 白人指数

1975
  • Ernst Ganz
  • W. Griesser
实验室技术员使用分光光度计进行比色法测量纺织品的白度指数。

(图片仅供参考)

Ganz-Griesser 白度指数是一个线性公式,广泛应用于纺织行业。它源于 CIE 三刺激值,定义为 [latex]W_{GG} = Y - Px - Qy + C[/latex],其中 P、Q 和 C 是光源和观察者的特定常数。对于 D65/10° 条件,公式为 [latex]W_{GG} = Y - 1868.322x - 3695.690y + 1809.441[/latex]。.

The Ganz-Griesser whiteness index is an alternative to the CIE whiteness formula, favored in some industrial applications for its simplicity and historical precedent. It is a linear equation that directly relates the tristimulus values (or chromaticity coordinates x, y, and lightness Y) to a single whiteness value. The general form is [latex]W_{GG} = Y – Px – Qy + C[/latex]. The constants P, Q, and C are derived based on a specific illuminant and standard observer. For the widely used D65 illuminant and 10° observer, these constants are P=1868.322, Q=3695.690, and C=1809.441. Unlike the CIE formula, which has defined validity ranges, the Ganz-Griesser formula is a purely linear transformation. This can sometimes lead to different results, especially for samples with strong fluorescent whitening agents or significant chromatic tints. The formula essentially penalizes deviations from a target white point in the xy chromaticity diagram while rewarding higher lightness (Y). Its development was driven by the need for a practical, easy-to-calculate index for industrial quality control before computational power was as ubiquitous as it is today. Despite the official recommendation of the CIE formula, the Ganz-Griesser index remains in use due to established industry standards and historical data sets.

UNESCO Nomenclature: 2209
- 光学

类型

抽象系统

中断

递增

用法

小众/专业

前体

  • CIE 1931 XYZ 色彩空间
  • 工业界对定量颜色控制的需求
  • 早期的经验性白度公式
  • 商用分光光度计的开发

应用程序

  • 纺织品漂白工艺控制
  • 纸张生产中的质量保证
  • 荧光增白剂的评价
  • 塑料制造
  • 洗衣液性能测试

专利:

NA

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相关内容Ganz-Griesser、白度指数、线性公式、比色法、纺织品、纸张、荧光增白剂、D65/10°、三基色值、质量控制。.

历史背景

Ganz-Griesser 白人指数

1968
1970
1970
1975
1980
1980
1980
1965
1970
1970
1974-11-15
1980
1980
1980
1984

(如果日期未知或不相关,例如“流体力学”,则提供其显著出现的近似估计)

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