colour.matrix_cvd_Machado2009#

colour.matrix_cvd_Machado2009(deficiency: Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'] | str, severity: float) → NDArrayFloat[source]#

Compute Machado et al. (2009) CVD matrix for given deficiency and severity using the pre-computed matrices dataset.

Parameters:

  • deficiency (Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'] | str) – Colour blindness / vision deficiency types : - Protanomaly : defective long-wavelength cones (L-cones). The complete absence of L-cones is known as Protanopia or red-dichromacy. - Deuteranomaly : defective medium-wavelength cones (M-cones) with peak of sensitivity moved towards the red sensitive cones. The complete absence of M-cones is known as Deuteranopia. - Tritanomaly : defective short-wavelength cones (S-cones), an alleviated form of blue-yellow color blindness. The complete absence of S-cones is known as Tritanopia.

  • severity (float) – Severity of the colour vision deficiency in domain [0, 1].

Returns:

CVD matrix.

Return type:

numpy.ndarray

References

[Colblindorb], [Colblindora], [Colblindorc], [MOF09]

Examples

>>> matrix_cvd_Machado2009("Protanomaly", 0.15)  
array([[ 0.7869875...,  0.2694875..., -0.0564735...],
       [ 0.0431695...,  0.933774 ...,  0.023058 ...],
       [-0.004238 ..., -0.0024515...,  1.0066895...]])