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Revert to >0 for determining binary values. Document that input should be binary.

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This commit is contained in:
Stefan van der Walt
2013-10-12 21:55:13 +02:00
parent 4f74a007d9
commit 6111831994
1 changed files with 11 additions and 11 deletions
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skimage/morphology/binary.py
+11 -11
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@@ -16,7 +16,7 @@ def binary_erosion(image, selem, out=None):
Parameters
----------
image : ndarray
Image array.
Binary input image.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray of bool
@@ -33,9 +33,9 @@ def binary_erosion(image, selem, out=None):
selem_sum = np.sum(selem)
if selem_sum <= 255:
binary = (image != 0).view(np.uint8)
binary = (image > 0).view(np.uint8)
else:
binary = (image != 0).astype(np.intp)
binary = (image > 0).astype(np.intp)
conv = ndimage.convolve(binary, selem, mode='constant', cval=1)
@@ -50,15 +50,15 @@ def binary_dilation(image, selem, out=None):
This function returns the same result as greyscale dilation but performs
faster for binary images.
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 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.
Binary input image.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray of bool
@@ -73,9 +73,9 @@ def binary_dilation(image, selem, out=None):
"""
selem = (selem != 0)
if np.sum(selem) <= 255:
binary = (image != 0).view(np.uint8)
binary = (image > 0).view(np.uint8)
else:
binary = (image != 0).astype(np.intp)
binary = (image > 0).astype(np.intp)
conv = ndimage.convolve(binary, selem, mode='constant', cval=0)
@@ -98,7 +98,7 @@ def binary_opening(image, selem, out=None):
Parameters
----------
image : ndarray
Image array.
Binary input image.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray of bool
@@ -130,7 +130,7 @@ def binary_closing(image, selem, out=None):
Parameters
----------
image : ndarray
Image array.
Binary input image.
selem : ndarray
The neighborhood expressed as a 2-D array of 1's and 0's.
out : ndarray of bool