_resolve_neighborhood(selem, connectivity, ndim)
Depending on the values of :None:None:`connectivity` and selem
this function either creates a new structuring element (selem
is None) using :None:None:`connectivity` or validates the given structuring element (selem
is not None).
A structuring element used to determine the neighborhood of each evaluated pixel ( True
denotes a connected pixel). It must be a boolean array and have the same number of dimensions as :None:None:`image`. If neither selem
nor :None:None:`connectivity` are given, all adjacent pixels are considered as part of the neighborhood.
A number used to determine the neighborhood of each evaluated pixel. Adjacent pixels whose squared distance from the center is less than or equal to :None:None:`connectivity` are considered neighbors. Ignored if selem
is not None.
Number of dimensions selem
ought to have.
Validated or new structuring element specifying the neighborhood.
Validate or create structuring element.
>>> _resolve_neighborhood(None, 1, 2) array([[False, True, False], [ True, True, True], [False, True, False]])This example is valid syntax, but we were not able to check execution
>>> _resolve_neighborhood(None, None, 3).shape (3, 3, 3)See :
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.morphology._util._resolve_neighborhood
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