skimage 0.17.2

ParametersReturns
_preprocess_input(image, selem=None, out=None, mask=None, out_dtype=None, pixel_size=1)

Parameters

image : 2-D array (integer or float)

Input image.

selem : 2-D array (integer or float), optional

The neighborhood expressed as a 2-D array of 1's and 0's.

out : 2-D array (integer or float), optional

If None, a new array is allocated.

mask : ndarray (integer or float), optional

Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).

out_dtype : data-type, optional

Desired output data-type. Default is None, which means we cast output in input dtype.

pixel_size : int, optional

Dimension of each pixel. Default value is 1.

Returns

image : 2-D array (np.uint8 or np.uint16)
selem : 2-D array (np.uint8)

The neighborhood expressed as a binary 2-D array.

out : 3-D array (same dtype out_dtype or as input)

Output array. The two first dimensions are the spatial ones, the third one is the pixel vector (length 1 by default).

mask : 2-D array (np.uint8)

Mask array that defines (>0) area of the image included in the local neighborhood.

n_bins : int

Number of histogram bins.

Preprocess and verify input for filters.rank methods.

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/filters/rank/generic.py#66
type: <class 'function'>
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