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
29 lines
876 B
Python
29 lines
876 B
Python
"""
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===============================
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Dense DAISY feature description
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===============================
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The DAISY local image descriptor is based on gradient orientation histograms
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similar to the SIFT descriptor. It is formulated in a way that allows for fast
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dense extraction which is useful for e.g. bag-of-features image
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representations.
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In this example a limited number of DAISY descriptors are extracted at a large
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scale for illustrative purposes.
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"""
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from skimage.feature import daisy
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from skimage import data
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import matplotlib.pyplot as plt
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img = data.camera()
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descs, descs_img = daisy(img, step=180, radius=58, rings=2, histograms=6,
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orientations=8, visualize=True)
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fig, ax = plt.subplots()
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ax.axis('off')
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ax.imshow(descs_img)
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descs_num = descs.shape[0] * descs.shape[1]
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ax.set_title('%i DAISY descriptors extracted:' % descs_num)
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plt.show()
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