skimage 0.17.2

NotesParametersReturns
roberts_neg_diag(image, mask=None)

The kernel is applied to the input image to produce separate measurements of the gradient component one orientation.

Notes

We use the following kernel:

0   1
1   0

Parameters

image : 2-D array

Image to process.

mask : 2-D array, optional

An optional mask to limit the application to a certain area. Note that pixels surrounding masked regions are also masked to prevent masked regions from affecting the result.

Returns

output : 2-D array

The Robert's edge map.

Find the cross edges of an image using the Roberts' Cross operator.

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/edges.py#622
type: <class 'function'>
Commit: