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
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
"""
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========================
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CENSURE feature detector
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========================
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The CENSURE feature detector is a scale-invariant center-surround detector
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(CENSURE) that claims to outperform other detectors and is capable of real-time
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implementation.
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"""
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from skimage import data
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from skimage import transform as tf
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from skimage.feature import CENSURE
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from skimage.color import rgb2gray
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import matplotlib.pyplot as plt
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img1 = rgb2gray(data.astronaut())
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tform = tf.AffineTransform(scale=(1.5, 1.5), rotation=0.5,
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translation=(150, -200))
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img2 = tf.warp(img1, tform)
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detector = CENSURE()
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fig, ax = plt.subplots(nrows=1, ncols=2)
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plt.gray()
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detector.detect(img1)
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ax[0].imshow(img1)
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ax[0].axis('off')
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ax[0].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
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2 ** detector.scales, facecolors='none', edgecolors='r')
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detector.detect(img2)
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ax[1].imshow(img2)
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ax[1].axis('off')
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ax[1].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
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2 ** detector.scales, facecolors='none', edgecolors='r')
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plt.show()
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