skimage 0.17.2

Implicit in these definitions of "distance" is the notion of "Just Noticeable Distance" (JND). This represents the distance between colors where a human can perceive different colors. Humans are more sensitive to certain colors than others, which different deltaE metrics correct for with varying degrees of sophistication.

The literature often mentions 1 as the minimum distance for visual differentiation, but more recent studies (Mahy 1994) peg JND at 2.3

The delta-E notation comes from the German word for "Sensation" (Empfindung).

Functions for calculating the "distance" between colors.

Functions for calculating the "distance" between colors.

Implicit in these definitions of "distance" is the notion of "Just Noticeable Distance" (JND). This represents the distance between colors where a human can perceive different colors. Humans are more sensitive to certain colors than others, which different deltaE metrics correct for with varying degrees of sophistication.

The literature often mentions 1 as the minimum distance for visual differentiation, but more recent studies (Mahy 1994) peg JND at 2.3

The delta-E notation comes from the German word for "Sensation" (Empfindung).

Reference

https://en.wikipedia.org/wiki/Color_difference

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#0
type: <class 'module'>
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