skimage 0.17.2

ParametersReturns
contingency_table(im_true, im_test, *, ignore_labels=(), normalize=False)

Parameters

im_true : ndarray of int

Ground-truth label image, same shape as im_test.

im_test : ndarray of int

Test image.

ignore_labels : sequence of int, optional

Labels to ignore. Any part of the true image labeled with any of these values will not be counted in the score.

normalize : bool

Determines if the contingency table is normalized by pixel count.

Returns

cont : scipy.sparse.csr_matrix

A contingency table. :None:None:`cont[i, j]` will equal the number of voxels labeled i in :None:None:`im_true` and :None:None:`j` in :None:None:`im_test`.

Return the contingency table for all regions in matched segmentations.

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/metrics/_contingency_table.py#7
type: <class 'function'>
Commit: