skimage2.graph.cut_threshold#

skimage2.graph.cut_threshold(labels, rag, thresh, in_place=True)[source]#

Combine regions separated by weight less than threshold.

Given an image’s labels and its RAG, output new labels by combining regions whose nodes are separated by a weight less than the given threshold.

Parameters:

labelsndarray: The array of labels.
ragRAG: The region adjacency graph.
threshfloat: The threshold. Regions connected by edges with smaller weights are combined.
in_placebool: If set, modifies rag in place. The function will remove the edges with weights less that thresh. If set to False the function makes a copy of rag before proceeding.

Returns:

outndarray: The new labelled array.

References

[1]

Alain Tremeau and Philippe Colantoni “Regions Adjacency Graph Applied To Color Image Segmentation” DOI:10.1109/83.841950

Examples

>>> from _skimage2 import data, segmentation, graph
>>> img = data.astronaut()
>>> labels = segmentation.slic(img)
>>> rag = graph.rag_mean_color(img, labels)
>>> new_labels = graph.cut_threshold(labels, rag, 10)