wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-06-30 01:23:23 +08:00
Code Issues Packages Projects Releases Wiki Activity

Documentation fix for labels input in random_walker.

Browse Source 
This fix was needed because `labels` claimed it should be "of same
shape as `data`", but this is no longer always the case. When
multichannel=True, `labels` should be shaped like a SINGLE channel
of `data`, i.e. without the final dimension denoting channels.
This commit is contained in:
JDWarner
2012-09-17 16:38:59 -05:00
parent 6c125ea5fe
commit ee2092c6fa
1 changed files with 4 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
skimage/segmentation/random_walker_segmentation.py
+4 -2
View File
@@ -190,13 +190,15 @@ def random_walker(data, labels, beta=130, mode='bf', tol=1.e-3, copy=True,
channels. Data spacing is assumed isotropic unless depth keyword
argument is used.
labels : array of ints, of same shape as `data`
labels : array of ints, of same shape as `data` without channels dimension
Array of seed markers labeled with different positive integers
for different phases. Zero-labeled pixels are unlabeled pixels.
Negative labels correspond to inactive pixels that are not taken
into account (they are removed from the graph). If labels are not
consecutive integers, the labels array will be transformed so that
labels are consecutive.
labels are consecutive. In the multichannel case, `labels` should have
the same shape as a single channel of `data`, i.e. without the final
dimension denoting channels.
beta : float
Penalization coefficient for the random walker motion