colour.colorimetry.yellowness_ASTME313#

colour.colorimetry.yellowness_ASTME313(XYZ: Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100], C_XZ: ArrayLike = YELLOWNESS_COEFFICIENTS_ASTME313['CIE 1931 2 Degree Standard Observer']['D65']) Annotated[ndarray[tuple[Any, ...], dtype[float16 | float32 | float64]], 100][source]#

Compute the yellowness index \(YI\) of the specified sample CIE XYZ tristimulus values using the ASTM E313 method.

ASTM E313 has been successfully used for a variety of white or near white materials. This includes coatings, plastics, and textiles.

Parameters:
  • XYZ (Annotated[_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str], 100]) – CIE XYZ tristimulus values of the sample.

  • C_XZ (ArrayLike) – Coefficients \(C_X\) and \(C_Z\) for the CIE 1931 2 Degree Standard Observer and CIE 1964 10 Degree Standard Observer with CIE Illuminant C and CIE Standard Illuminant D65.

Returns:

Yellowness index \(YI\).

Return type:

numpy.ndarray

Notes

Domain

Scale - Reference

Scale - 1

XYZ

100

1

Range

Scale - Reference

Scale - 1

YI

100

1

References

[ASTMInternational15b]

Examples

>>> XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
>>> yellowness_ASTME313(XYZ)
np.float64(4.3400000...)