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Improve documentation of sigma

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Johannes Schönberger
2013-09-01 16:15:00 +02:00
parent f5cfbcfe97
commit e5eea8e135
1 changed files with 4 additions and 3 deletions
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skimage/segmentation/slic_superpixels.py
+4 -3
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@@ -27,9 +27,10 @@ def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=1,
infinity, superpixel shapes become square/cubic.
max_iter : int, optional (default: 10)
Maximum number of iterations of k-means.
sigma : float, optional (default: 1)
Width of Gaussian smoothing kernel for preprocessing. Zero means no
smoothing.
sigma : float or array of floats, optional (default: 1)
Width of Gaussian smoothing kernel for pre-processing for each
dimension of the image. The same sigma is applied to each dimension in
case of a scalar value. Zero means no smoothing.
multichannel : bool, optional (default: None)
Whether the last axis of the image is to be interpreted as multiple
channels. Only 3 channels are supported. If `None`, the function will