skimage 0.17.2

ParametersReturns
_apply_scalar_per_pixel(func, image, selem, out, mask, shift_x, shift_y, out_dtype=None)

Parameters

func : function

Cython function to apply.

image : 2-D array (integer or float)

Input image.

selem : 2-D array (integer or float)

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

out : 2-D array (integer or float)

If None, a new array is allocated.

mask : ndarray (integer or float)

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

shift_x, shift_y : int

Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).

out_dtype : data-type, optional

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

Returns

out : 2-D array (same dtype as out_dtype or same as input image)

Output image.

Process the specific cython function to the 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/filters/rank/generic.py#149
type: <class 'function'>
Commit: