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Fix docstrings and one more pep8 issue

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Dan Farmer
2011-04-06 22:11:17 -07:00
parent e60d38892e
commit 5264e9d1d4
1 changed files with 16 additions and 16 deletions
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scikits/image/filter/canny.py
+16 -16
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@@ -24,13 +24,13 @@ def smooth_with_function_and_mask(image, function, mask):
Parameters
----------
image : array
The image to smooth
The image to smooth
function : callable
A function that takes an image and returns a smoothed image
A function that takes an image and returns a smoothed image
mask : array
Mask with 1's for significant pixels, 0 for masked pixels
Mask with 1's for significant pixels, 0 for masked pixels
Notes
------
@@ -41,12 +41,12 @@ def smooth_with_function_and_mask(image, function, mask):
fraction, so you can recalibrate by dividing by the function on the mask
to recover the effect of smoothing from just the significant pixels.
"""
not_mask = np.logical_not(mask)
bleed_over = function(mask.astype(float))
masked_image = np.zeros(image.shape, image.dtype)
masked_image[mask] = image[mask]
smoothed_image = function(masked_image)
output_image = smoothed_image / (bleed_over + np.finfo(float).eps)
not_mask = np.logical_not(mask)
bleed_over = function(mask.astype(float))
masked_image = np.zeros(image.shape, image.dtype)
masked_image[mask] = image[mask]
smoothed_image = function(masked_image)
output_image = smoothed_image / (bleed_over + np.finfo(float).eps)
return output_image
@@ -56,25 +56,25 @@ def canny(image, sigma, low_threshold, high_threshold, mask=None):
Parameters
-----------
image : array_like, dtype=float
The greyscale input image to detect edges on; should be normalized to 0.0
to 1.0.
The greyscale input image to detect edges on; should be normalized to 0.0
to 1.0.
sigma : float
The standard deviation of the Gaussian filter
The standard deviation of the Gaussian filter
low_threshold : float
The lower bound for hysterisis thresholding (linking edges)
The lower bound for hysterisis thresholding (linking edges)
high_threshold : float
The upper bound for hysterisis thresholding (linking edges)
The upper bound for hysterisis thresholding (linking edges)
mask : array, dtype=bool, optional
An optional mask to limit the application of Canny to a certain area.
An optional mask to limit the application of Canny to a certain area.
Returns
-------
output : array (image)
The binary edge map.
The binary edge map.
References
-----------