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Fix dtype error on 32bit systems as convolve is only implemented for 32bit integers

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Johannes Schönberger
2013-10-15 15:49:10 +02:00
parent 99ae582362
commit 505467008d
1 changed files with 4 additions and 4 deletions
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skimage/morphology/binary.py
+4 -4
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@@ -25,7 +25,7 @@ def binary_erosion(image, selem, out=None):
Returns
-------
eroded : ndarray of bool or intp
eroded : ndarray of bool or uint32
The result of the morphological erosion with values in ``[0, 1]``.
"""
@@ -35,7 +35,7 @@ def binary_erosion(image, selem, out=None):
if selem_sum <= 255:
conv = np.empty_like(image, dtype=np.uint8)
else:
conv = np.empty_like(image, dtype=np.intp)
conv = np.empty_like(image, dtype=np.uint32)
binary = (image > 0).view(np.uint8)
ndimage.convolve(binary, selem, mode='constant', cval=1, output=conv)
@@ -68,7 +68,7 @@ def binary_dilation(image, selem, out=None):
Returns
-------
dilated : ndarray of bool or intp
dilated : ndarray of bool or uint32
The result of the morphological dilation with values in ``[0, 1]``.
"""
@@ -77,7 +77,7 @@ def binary_dilation(image, selem, out=None):
if np.sum(selem) <= 255:
conv = np.empty_like(image, dtype=np.uint8)
else:
conv = np.empty_like(image, dtype=np.intp)
conv = np.empty_like(image, dtype=np.uint32)
binary = (image > 0).view(np.uint8)
ndimage.convolve(binary, selem, mode='constant', cval=0, output=conv)