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Corner detection#
Detect corner points using the Harris corner detector and determine the subpixel position of corners ([1], [2]).
from matplotlib import pyplot as plt
from skimage import data
from skimage.feature import corner_harris, corner_subpix, corner_peaks
from skimage.transform import warp, AffineTransform
from skimage.draw import ellipse
# Sheared checkerboard
tform = AffineTransform(scale=(1.3, 1.1), rotation=1, shear=0.7, translation=(110, 30))
image = warp(data.checkerboard()[:90, :90], tform.inverse, output_shape=(200, 310))
# Ellipse
rr, cc = ellipse(160, 175, 10, 100)
image[rr, cc] = 1
# Two squares
image[30:80, 200:250] = 1
image[80:130, 250:300] = 1
coords = corner_peaks(corner_harris(image), min_distance=5, threshold_rel=0.02)
coords_subpix = corner_subpix(image, coords, window_size=13)
fig, ax = plt.subplots()
ax.imshow(image, cmap=plt.cm.gray)
ax.plot(
coords[:, 1], coords[:, 0], color='cyan', marker='o', linestyle='None', markersize=6
)
ax.plot(coords_subpix[:, 1], coords_subpix[:, 0], '+r', markersize=15)
ax.axis((0, 310, 200, 0))
plt.show()
Total running time of the script: (0 minutes 0.202 seconds)
