_mean_std(image, w)

Parameters

image : ndarray

Input image.

w : int, or iterable of int

Window size specified as a single odd integer (3, 5, 7, …), or an iterable of length image.ndim containing only odd integers (e.g. (1, 5, 5) ).

Returns

m : ndarray of float, same shape as ``image``

Local mean of the image.

s : ndarray of float, same shape as ``image``

Local standard deviation of the image.

Return local mean and standard deviation of each pixel using a neighborhood defined by a rectangular window size w . The algorithm uses integral images to speedup computation. This is used by threshold_niblack and threshold_sauvola .

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

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File: /skimage/filters/thresholding.py#861
type: <class 'function'>
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