49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
"""
|
|
usage: python hough_prob.py file.png
|
|
|
|
find lines present in an image using scikit-image's hough transform.
|
|
"""
|
|
|
|
import sys
|
|
import time
|
|
|
|
from scipy.misc import imread
|
|
import matplotlib.pyplot as plt
|
|
from skimage.feature import canny
|
|
from skimage.transform import probabilistic_hough_line
|
|
|
|
|
|
def timeit(func):
|
|
def timed(*args, **kw):
|
|
start = time.time()
|
|
result = func(*args, **kw)
|
|
end = time.time()
|
|
print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start)
|
|
return result
|
|
return timed
|
|
|
|
|
|
@timeit
|
|
def main():
|
|
image = imread(sys.argv[1], mode='L')
|
|
edges = canny(image, 2, 1, 25)
|
|
lines = probabilistic_hough_line(edges, threshold=1000)
|
|
|
|
fig, ax = plt.subplots(1, 1, figsize=(8,4), sharex=True, sharey=True)
|
|
ax.imshow(edges * 0)
|
|
|
|
for line in lines:
|
|
p0, p1 = line
|
|
ax.plot((p0[0], p1[0]), (p0[1], p1[1]))
|
|
|
|
ax.set_title('Probabilistic Hough')
|
|
ax.set_axis_off()
|
|
ax.set_adjustable('box-forced')
|
|
plt.show()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
if len(sys.argv) == 1:
|
|
print __doc__
|
|
else:
|
|
main() |