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rename method to cut_normalized

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Vighnesh Birodkar
2014-08-05 23:33:23 +05:30
parent 6cc0cf4a88
commit f261e51faa
2 changed files with 3 additions and 3 deletions
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skimage/graph/graph_cut.py
+2 -2
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@@ -65,7 +65,7 @@ def cut_threshold(labels, rag, thresh):
return map_array[labels]
def cut_n(labels, rag, thresh=0.001, num_cuts=10):
def cut_normalized(labels, rag, thresh=0.001, num_cuts=10):
"""Perform Normalized Graph cut on the Region Adjacency Graph.
Given an image's labels and its similarity RAG, recursively perform
@@ -96,7 +96,7 @@ def cut_n(labels, rag, thresh=0.001, num_cuts=10):
>>> img = data.lena()
>>> labels = segmentation.slic(img, compactness=30, n_segments=400)
>>> rag = graph.rag_mean_color(img, labels, mode='similarity')
>>> new_labels = graph.cut_n(labels, rag)
>>> new_labels = graph.cut_normalized(labels, rag)
References
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