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Update examples of corner detection in doc string

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Johannes Schönberger
2012-09-16 11:22:27 +02:00
parent 8af43f2d49
commit c1f9336c2a
1 changed files with 52 additions and 26 deletions
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skimage/feature/corner.py
+52 -26
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@@ -135,21 +135,21 @@ def corner_harris(image, method='k', k=0.05, eps=1e-6, sigma=1):
Examples
-------
>>> from skimage.feature import harris, peak_local_max
>>> from skimage.feature import corner_harris, peak_local_max
>>> square = np.zeros([10, 10])
>>> square[2:8,2:8] = 1
>>> square[2:8, 2:8] = 1
>>> square
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
>>> peak_local_max(harris(square), min_distance=1)
array([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
>>> peak_local_max(corner_harris(square), min_distance=1)
array([[3, 3],
[3, 6],
[6, 3],
@@ -205,21 +205,21 @@ def corner_shi_tomasi(image, sigma=1):
Examples
-------
>>> from skimage.feature import shi_tomasi, peak_local_max
>>> from skimage.feature import corner_shi_tomasi, peak_local_max
>>> square = np.zeros([10, 10])
>>> square[2:8,2:8] = 1
>>> square[2:8, 2:8] = 1
>>> square
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
>>> peak_local_max(shi_tomasi(square), min_distance=1)
array([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
>>> peak_local_max(corner_shi_tomasi(square), min_distance=1)
array([[3, 3],
[3, 6],
[6, 3],
@@ -268,6 +268,32 @@ def corner_foerstner(image, sigma=1):
foerstner87.fast.pdf
..[2] http://en.wikipedia.org/wiki/Corner_detection
Examples
-------
>>> from skimage.feature import corner_foerstner, peak_local_max
>>> square = np.zeros([10, 10])
>>> square[2:8, 2:8] = 1
>>> square
array([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 1, 1, 1, 1, 1, 1, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
>>> w, q = corner_foerstner(square)
>>> accuracy_thresh = 0.5
>>> roundness_thresh = 0.3
>>> foerstner = (q > roundness_thresh) * (w > accuracy_thresh) * w
>>> peak_local_max(foerstner, min_distance=1)
array([[2, 2],
[2, 7],
[7, 2],
[7, 7]])
"""
Axx, Axy, Ayy = _compute_auto_correlation(image, sigma)