skimage 0.17.2

ParametersReturns
_bincount_histogram(image, source_range)

This function is significantly more efficient than np.histogram but works only on images of integers. It is based on np.bincount.

Parameters

image : array

Input image.

source_range : string

'image' determines the range from the input image. 'dtype' determines the range from the expected range of the images of that data type.

Returns

hist : array

The values of the histogram.

bin_centers : array

The values at the center of the bins.

Efficient histogram calculation for an image of integers.

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/exposure.py#38
type: <class 'function'>
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