colour.difference.delta_E_DIN99#
- colour.difference.delta_E_DIN99(Lab_1: ArrayLike, Lab_2: ArrayLike, textiles: bool = False) NDArrayFloat [source]#
Return the difference \(\Delta E_{DIN99}\) between two given CIE L*a*b* colourspace arrays using DIN99 formula.
- Parameters:
Lab_1 (ArrayLike) – CIE L*a*b* colourspace array 1.
Lab_2 (ArrayLike) – CIE L*a*b* colourspace array 2.
textiles (bool) – Textiles application specific parametric factors, \(k_E=2,\ k_{CH}=0.5\) weights are used instead of \(k_E=1,\ k_{CH}=1\).
- Returns:
Colour difference \(\Delta E_{DIN99}\).
- Return type:
Notes
Domain
Scale - Reference
Scale - 1
Lab_1
L_1
: [0, 100]a_1
: [-100, 100]b_1
: [-100, 100]L_1
: [0, 1]a_1
: [-1, 1]b_1
: [-1, 1]Lab_2
L_2
: [0, 100]a_2
: [-100, 100]b_2
: [-100, 100]L_2
: [0, 1]a_2
: [-1, 1]b_2
: [-1, 1]References
Examples
>>> import numpy as np >>> Lab_1 = np.array([60.2574, -34.0099, 36.2677]) >>> Lab_2 = np.array([60.4626, -34.1751, 39.4387]) >>> delta_E_DIN99(Lab_1, Lab_2) 1.1772166...