colour.matrix_cvd_Machado2009¶
- colour.matrix_cvd_Machado2009(deficiency: Union[Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'], str], severity: float) numpy.ndarray [source]¶
Compute Machado et al. (2009) CVD matrix for given deficiency and severity using the pre-computed matrices dataset.
- Parameters
deficiency (Union[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
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...]])