mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 04:07:14 +08:00
Stefan van der Walt
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
"""
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=========================
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Measure region properties
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=========================
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This example shows how to measure properties of labelled image regions.
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"""
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import math
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import matplotlib.pyplot as plt
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import numpy as np
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from skimage.draw import ellipse
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from skimage.measure import label, regionprops
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from skimage.transform import rotate
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image = np.zeros((600, 600))
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rr, cc = ellipse(300, 350, 100, 220)
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image[rr,cc] = 1
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image = rotate(image, angle=15, order=0)
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label_img = label(image)
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regions = regionprops(label_img)
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fig, ax = plt.subplots()
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ax.imshow(image, cmap=plt.cm.gray)
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for props in regions:
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y0, x0 = props.centroid
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orientation = props.orientation
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x1 = x0 + math.cos(orientation) * 0.5 * props.major_axis_length
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y1 = y0 - math.sin(orientation) * 0.5 * props.major_axis_length
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x2 = x0 - math.sin(orientation) * 0.5 * props.minor_axis_length
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y2 = y0 - math.cos(orientation) * 0.5 * props.minor_axis_length
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ax.plot((x0, x1), (y0, y1), '-r', linewidth=2.5)
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ax.plot((x0, x2), (y0, y2), '-r', linewidth=2.5)
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ax.plot(x0, y0, '.g', markersize=15)
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minr, minc, maxr, maxc = props.bbox
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bx = (minc, maxc, maxc, minc, minc)
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by = (minr, minr, maxr, maxr, minr)
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ax.plot(bx, by, '-b', linewidth=2.5)
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ax.axis((0, 600, 600, 0))
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plt.show()
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