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Colorimetric Properties and Classification of “Tang yu”

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This study quantitatively analyses how light sources, polishing methods, and backgrounds affect the color of “Tang yu”. Twenty-four samples were tested with three different light sources (D50, A, D65), two polishing methods, and nine Munsell neutral gray backgrounds. Testing 24 samples revealed that main coloring elements exhibit low concentrations with no linear relationship to color intensity. Light sources selectively alter chromaticity: D65 maintains color balance (recommended for grading), while A enhances red tones. Polishing methods significantly impact color perception, with glassy polishing markedly increasing Lightness (L*↑11.41%) and Chroma (C*↑42.11%) while shifting hues toward red-yellow. Background luminance (γb) critically influences color results: Lightness L* and Chroma C* increase via distinct power functions as γb rises, though Hue angle (h°) remains stable. Sample color can be predicted through γb based equations, with Munsell N9 background proving optimal for grading. Cluster and discriminant analyses effectively classified colors into three distinct groups, establishing a foundation for a reliable grading system.
Title: Colorimetric Properties and Classification of “Tang yu”
Description:
This study quantitatively analyses how light sources, polishing methods, and backgrounds affect the color of “Tang yu”.
Twenty-four samples were tested with three different light sources (D50, A, D65), two polishing methods, and nine Munsell neutral gray backgrounds.
Testing 24 samples revealed that main coloring elements exhibit low concentrations with no linear relationship to color intensity.
Light sources selectively alter chromaticity: D65 maintains color balance (recommended for grading), while A enhances red tones.
Polishing methods significantly impact color perception, with glassy polishing markedly increasing Lightness (L*↑11.
41%) and Chroma (C*↑42.
11%) while shifting hues toward red-yellow.
Background luminance (γb) critically influences color results: Lightness L* and Chroma C* increase via distinct power functions as γb rises, though Hue angle (h°) remains stable.
Sample color can be predicted through γb based equations, with Munsell N9 background proving optimal for grading.
Cluster and discriminant analyses effectively classified colors into three distinct groups, establishing a foundation for a reliable grading system.

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