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doc bilateral_rank

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odebeir
2012-11-02 10:10:39 +01:00
parent bc08be76a8
commit 10a6c23ff8
1 changed files with 8 additions and 39 deletions
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skimage/filter/rank/bilateral_rank.pyx
+8 -39
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@@ -81,33 +81,14 @@ def bilateral_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=Fal
Examples
--------
>>> # Local mean
>>> from skimage.morphology import square
>>> import skimage.filter.rank as rank
>>> ima8 = 255*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint8)
>>> rank.bilateral_mean(ima8, square(3), s0=10,s1=10)
array([[ 0, 0, 0, 0, 0],
[ 0, 255, 255, 255, 0],
[ 0, 255, 255, 255, 0],
[ 0, 255, 255, 255, 0],
[ 0, 0, 0, 0, 0]], dtype=uint16)
>>> ima16 = 4095*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint16)
>>> rank.bilateral_mean(ima16, square(3), s0=10,s1=10)
array([[ 0, 0, 0, 0, 0],
[ 0, 4095, 4095, 4095, 0],
[ 0, 4095, 4095, 4095, 0],
[ 0, 4095, 4095, 4095, 0],
[ 0, 0, 0, 0, 0]], dtype=uint16)
>>> from skimage import data
>>> from skimage.morphology import disk
>>> from skimage.filter.rank import bilateral_mean
>>> # bilateral filtering of cameraman image using a flat kernel
>>> # Load test image
>>> a8 = data.camera()
>>> # Apply bilateral filter
>>> bl8 = bilateral_mean(a8, disk(20), s0=10,s1=10)
"""
return _apply(
@@ -161,18 +142,6 @@ def bilateral_pop(image, selem, out=None, mask=None, shift_x=False, shift_y=Fals
[4, 4, 6, 4, 4],
[3, 4, 3, 4, 3]], dtype=uint16)
>>> ima16 = 4095*np.array([[0, 0, 0, 0, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 1, 1, 1, 0],
... [0, 0, 0, 0, 0]], dtype=np.uint16)
>>> rank.bilateral_pop(ima16, square(3), s0=10,s1=10)
array([[3, 4, 3, 4, 3],
[4, 4, 6, 4, 4],
[3, 6, 9, 6, 3],
[4, 4, 6, 4, 4],
[3, 4, 3, 4, 3]], dtype=uint16)
"""
return _apply(