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Docstring for _dilate and _erode were interchanged

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Chintak Sheth
2013-07-15 18:50:06 +05:30
parent dd9f6a16ab
commit 875e47abcc
1 changed files with 16 additions and 15 deletions
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skimage/morphology/cmorph.pyx
+16 -15
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@@ -12,20 +12,21 @@ def _dilate(np.ndarray[np.uint8_t, ndim=2] image,
np.ndarray[np.uint8_t, ndim=2] selem,
np.ndarray[np.uint8_t, ndim=2] out=None,
char shift_x=0, char shift_y=0):
"""Return greyscale morphological erosion of an image.
"""Return greyscale morphological dilation of an image.
Morphological erosion sets a pixel at (i,j) to the minimum over all pixels
in the neighborhood centered at (i,j). Erosion shrinks bright regions and
enlarges dark regions.
Morphological dilation sets a pixel at (i,j) to the maximum over all pixels
in the neighborhood centered at (i,j). Dilation enlarges bright regions
and shrinks dark regions.
Parameters
----------
image : ndarray
Image array.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray
The array to store the result of the morphology. If None is
The array to store the result of the morphology. If None, is
passed, a new array will be allocated.
shift_x, shift_y : bool
shift structuring element about center point. This only affects
@@ -33,9 +34,10 @@ def _dilate(np.ndarray[np.uint8_t, ndim=2] image,
Returns
-------
eroded : uint8 array
The result of the morphological erosion.
dilated : uint8 array
The result of the morphological dilation.
"""
cdef Py_ssize_t rows = image.shape[0]
cdef Py_ssize_t cols = image.shape[1]
cdef Py_ssize_t srows = selem.shape[0]
@@ -90,21 +92,20 @@ def _erode(np.ndarray[np.uint8_t, ndim=2] image,
np.ndarray[np.uint8_t, ndim=2] selem,
np.ndarray[np.uint8_t, ndim=2] out=None,
char shift_x=0, char shift_y=0):
"""Return greyscale morphological dilation of an image.
"""Return greyscale morphological erosion of an image.
Morphological dilation sets a pixel at (i,j) to the maximum over all pixels
in the neighborhood centered at (i,j). Dilation enlarges bright regions
and shrinks dark regions.
Morphological erosion sets a pixel at (i,j) to the minimum over all pixels
in the neighborhood centered at (i,j). Erosion shrinks bright regions and
enlarges dark regions.
Parameters
----------
image : ndarray
Image array.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray
The array to store the result of the morphology. If None, is
The array to store the result of the morphology. If None is
passed, a new array will be allocated.
shift_x, shift_y : bool
shift structuring element about center point. This only affects
@@ -112,8 +113,8 @@ def _erode(np.ndarray[np.uint8_t, ndim=2] image,
Returns
-------
dilated : uint8 array
The result of the morphological dilation.
eroded : uint8 array
The result of the morphological erosion.
"""
cdef Py_ssize_t rows = image.shape[0]