skimage 0.17.2

ParametersReturns
binary_opening(image, selem=None, out=None)

This function returns the same result as greyscale opening but performs faster for binary images.

The morphological opening on an image is defined as an erosion followed by a dilation. Opening can remove small bright spots (i.e. "salt") and connect small dark cracks. This tends to "open" up (dark) gaps between (bright) features.

Parameters

image : ndarray

Binary input image.

selem : ndarray, optional

The neighborhood expressed as a 2-D array of 1's and 0's. If None, use a cross-shaped structuring element (connectivity=1).

out : ndarray of bool, optional

The array to store the result of the morphology. If None is passed, a new array will be allocated.

Returns

opening : ndarray of bool

The result of the morphological opening.

Return fast binary morphological opening of an image.

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/morphology/binary.py#81
type: <class 'function'>
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