skimage 0.17.2

NotesParametersReturns
deltaE_ciede2000(lab1, lab2, kL=1, kC=1, kH=1)

CIEDE 2000 is a major revision of CIDE94. The perceptual calibration is largely based on experience with automotive paint on smooth surfaces.

Notes

CIEDE 2000 assumes parametric weighting factors for the lightness, chroma, and hue (:None:None:`kL`, :None:None:`kC`, :None:None:`kH` respectively). These default to 1.

Parameters

lab1 : array_like

reference color (Lab colorspace)

lab2 : array_like

comparison color (Lab colorspace)

kL : float (range), optional

lightness scale factor, 1 for "acceptably close"; 2 for "imperceptible" see deltaE_cmc

kC : float (range), optional

chroma scale factor, usually 1

kH : float (range), optional

hue scale factor, usually 1

Returns

deltaE : array_like

The distance between :None:None:`lab1` and :None:None:`lab2`

Color difference as given by the CIEDE 2000 standard.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /skimage/color/delta_e.py#122
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