mirror of
https://github.com/wassname/scikit-image.git
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emmanuelle
55f5103dd8
Modified travis_script.sh to account for the new structure of the gallery Added README.txt files in directories of gallery examples Fixed references to gallery images in user guide pages Fixed broken links
34 lines
848 B
Python
34 lines
848 B
Python
"""
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==============
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Normalized Cut
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==============
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This example constructs a Region Adjacency Graph (RAG) and recursively performs
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a Normalized Cut on it.
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References
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----------
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.. [1] Shi, J.; Malik, J., "Normalized cuts and image segmentation",
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Pattern Analysis and Machine Intelligence,
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IEEE Transactions on, vol. 22, no. 8, pp. 888-905, August 2000.
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"""
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from skimage import data, io, segmentation, color
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from skimage.future import graph
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from matplotlib import pyplot as plt
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img = data.coffee()
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labels1 = segmentation.slic(img, compactness=30, n_segments=400)
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out1 = color.label2rgb(labels1, img, kind='avg')
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g = graph.rag_mean_color(img, labels1, mode='similarity')
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labels2 = graph.cut_normalized(labels1, g)
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out2 = color.label2rgb(labels2, img, kind='avg')
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plt.figure()
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io.imshow(out1)
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plt.figure()
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io.imshow(out2)
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io.show()
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