- extend_slice(slices, shape, pad=1)[source]#
Adjust slice indices to include additional voxles around the slice.
This function does bounds checking to ensure the indices don’t extend outside the image.
slices (list of slice objects) – A list (or tuple) of N slice objects, where N is the number of dimensions in the image.
shape (array_like) – The shape of the image into which the slice objects apply. This is used to check the bounds to prevent indexing beyond the image.
pad (int or list of ints) – The number of voxels to expand in each direction.
slices – A list slice of objects with the start and stop attributes respectively incremented and decremented by 1, without extending beyond the image boundaries.
- Return type:
list of slice objects
>>> from scipy.ndimage import label, find_objects >>> from porespy.tools import extend_slice >>> im = np.array([[1, 0, 0], [1, 0, 0], [0, 0, 1]]) >>> labels = label(im) >>> s = find_objects(labels)
Using the slices returned by
find_objects, set the first label to 3
>>> labels[s] = 3 >>> print(labels) [[3 0 0] [3 0 0] [0 0 2]]
Next extend the slice, and use it to set the values to 4
>>> s_ext = extend_slice(s, shape=im.shape, pad=1) >>> labels[s_ext] = 4 >>> print(labels) [[4 4 0] [4 4 0] [4 4 2]]
As can be seen by the location of the 4s, the slice was extended by 1, and also handled the extension beyond the boundary correctly.
Click here to view online example.