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rename method to cut_normalized

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Vighnesh Birodkar
2014-07-24 00:01:56 +05:30
parent 6cc0cf4a88
commit f261e51faa
2 changed files with 3 additions and 3 deletions
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doc/examples/plot_ncut.py
+1 -1
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@@ -22,7 +22,7 @@ labels1 = segmentation.slic(img, compactness=30, n_segments=400)
out1 = color.label2rgb(labels1, img, kind='avg')
g = graph.rag_mean_color(img, labels1, mode='similarity')
labels2 = graph.cut_n(labels1, g)
labels2 = graph.cut_normalized(labels1, g)
out2 = color.label2rgb(labels2, img, kind='avg')
plt.figure()
skimage/graph/graph_cut.py
+2 -2
View File
@@ -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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