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
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""
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==========================================
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ORB feature detector and binary descriptor
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==========================================
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This example demonstrates the ORB feature detection and binary description
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algorithm. It uses an oriented FAST detection method and the rotated BRIEF
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descriptors.
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Unlike BRIEF, ORB is comparatively scale- and rotation-invariant while still
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employing the very efficient Hamming distance metric for matching. As such, it
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is preferred for real-time applications.
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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 (match_descriptors, corner_harris,
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corner_peaks, ORB, plot_matches)
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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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img2 = tf.rotate(img1, 180)
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tform = tf.AffineTransform(scale=(1.3, 1.1), rotation=0.5,
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translation=(0, -200))
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img3 = tf.warp(img1, tform)
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descriptor_extractor = ORB(n_keypoints=200)
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descriptor_extractor.detect_and_extract(img1)
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keypoints1 = descriptor_extractor.keypoints
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descriptors1 = descriptor_extractor.descriptors
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descriptor_extractor.detect_and_extract(img2)
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keypoints2 = descriptor_extractor.keypoints
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descriptors2 = descriptor_extractor.descriptors
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descriptor_extractor.detect_and_extract(img3)
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keypoints3 = descriptor_extractor.keypoints
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descriptors3 = descriptor_extractor.descriptors
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matches12 = match_descriptors(descriptors1, descriptors2, cross_check=True)
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matches13 = match_descriptors(descriptors1, descriptors3, cross_check=True)
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fig, ax = plt.subplots(nrows=2, ncols=1)
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plt.gray()
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plot_matches(ax[0], img1, img2, keypoints1, keypoints2, matches12)
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ax[0].axis('off')
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plot_matches(ax[1], img1, img3, keypoints1, keypoints3, matches13)
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ax[1].axis('off')
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plt.show()
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