mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-27 18:25:32 +08:00
remove obsolete comments
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@@ -1 +0,0 @@
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__author__ = 'olivier'
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@@ -81,7 +81,6 @@ def bilateral_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=Fal
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -147,7 +146,6 @@ def bilateral_pop(image, selem, out=None, mask=None, shift_x=False, shift_y=Fals
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -73,7 +73,6 @@ def percentile_autolevel(image, selem, out=None, mask=None, shift_x=False, shift
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -139,7 +138,7 @@ def percentile_gradient(image, selem, out=None, mask=None, shift_x=False, shift_
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Examples
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--------
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to be updated
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>>> # Local gradient
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -205,7 +204,7 @@ def percentile_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=Fa
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -271,7 +270,7 @@ def percentile_mean_substraction(image, selem, out=None, mask=None, shift_x=Fals
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Examples
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--------
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to be updated
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>>> # Local mean_substraction
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -337,7 +336,7 @@ def percentile_morph_contr_enh(image, selem, out=None, mask=None, shift_x=False,
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -403,7 +402,7 @@ def percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False,
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -470,7 +469,7 @@ def percentile_pop(image, selem, out=None, mask=None, shift_x=False, shift_y=Fal
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -536,7 +535,7 @@ def percentile_threshold(image, selem, out=None, mask=None, shift_x=False, shift
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Examples
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--------
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to be updated
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>>> # Local mean
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>>> from skimage.morphology import square
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>>> import skimage.filter.rank as rank
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@@ -572,9 +571,3 @@ def percentile_threshold(image, selem, out=None, mask=None, shift_x=False, shift
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shift_x=shift_x, shift_y=shift_y, p0=p0, p1=p1)
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if __name__ == "__main__":
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import sys
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sys.path.append('.')
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import doctest
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doctest.testmod(verbose=True)
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