skimage 0.17.2

ParametersReturns
map_histogram(hist, min_val, max_val, n_pixels)

It does so by cumulating the input histogram. Histogram bins are assumed to be represented by the last array dimension.

Parameters

hist : ndarray

Clipped histogram.

min_val : int

Minimum value for mapping.

max_val : int

Maximum value for mapping.

n_pixels : int

Number of pixels in the region.

Returns

out : ndarray

Mapped intensity LUT.

Calculate the equalized lookup table (mapping).

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/exposure/_adapthist.py#290
type: <class 'function'>
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