skimage 0.17.2

ParametersRaisesReturns
_validate_inputs(image, markers, mask, connectivity)

Parameters

image : array

The input image.

markers : int or array of int

The marker image.

mask : array, or None

A boolean mask, True where we want to compute the watershed.

connectivity : int in {1, ..., image.ndim}

The connectivity of the neighborhood of a pixel.

Raises

ValueError

If the shapes of the given arrays don't match.

Returns

image, markers, mask : arrays

The validated and formatted arrays. Image will have dtype float64, markers int32, and mask int8. If None was given for the mask, it is a volume of all 1s.

Ensure that all inputs to watershed have matching shapes and types.

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/segmentation/_watershed.py#37
type: <class 'function'>
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