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Improve corner_orientations example output

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Johannes Schönberger
2013-11-29 21:55:21 +01:00
parent cf68bfd671
commit 2f11f2277b
1 changed files with 16 additions and 16 deletions
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skimage/feature/corner_cy.pyx
+16 -16
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@@ -176,7 +176,7 @@ def corner_orientations(image, Py_ssize_t[:, :] corners, mask):
The orientation of corners is computed using the first order central moment
i.e. the center of mass approach. The corner orientation is the angle of
the vector from the corner coordinate to the intensity centroid in the
the vector from the corner coordinate to the intensity centroid in the
local neighborhood around the corner calculated using first order central
moment.
@@ -206,23 +206,23 @@ def corner_orientations(image, Py_ssize_t[:, :] corners, mask):
Examples
--------
>>> from skimage.morphology import octagon
>>> from skimage.feature import corner_fast, corner_peaks, \
... corner_orientations
>>> from skimage.feature import (corner_fast, corner_peaks,
... corner_orientations)
>>> square = np.zeros((12, 12))
>>> square[3:9, 3:9] = 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., 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., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 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., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
>>> square.astype(int)
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 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, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 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, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
>>> corners = corner_peaks(corner_fast(square, 9), min_distance=1)
>>> corners
array([[3, 3],