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Harmonize all ndimage usage across the library

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Only two forms remain in use:

- `from scipy import ndimage as ndi`
- `from scipy.ndimage import function`
This commit is contained in:
Juan Nunez-Iglesias
2015-06-09 15:18:37 +10:00
parent 82a5d0c5d9
commit 0d134987f9
47 changed files with 173 additions and 185 deletions
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doc/source/user_guide/tutorial_segmentation.txt
+8 -8
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@@ -50,8 +50,8 @@ boundary of the coins, or inside the coins.
::
>>> from scipy import ndimage
>>> fill_coins = ndimage.binary_fill_holes(edges)
>>> from scipy import ndimage as ndi
>>> fill_coins = ndi.binary_fill_holes(edges)
.. image:: ../auto_examples/applications/images/plot_coins_segmentation_3.png
:target: ../auto_examples/applications/plot_coins_segmentation.html
@@ -59,7 +59,7 @@ boundary of the coins, or inside the coins.
Now that we have contours that delineate the outer boundary of the coins,
we fill the inner part of the coins using the
``ndimage.binary_fill_holes`` function, which uses mathematical morphology
``ndi.binary_fill_holes`` function, which uses mathematical morphology
to fill the holes.
.. image:: ../auto_examples/applications/images/plot_coins_segmentation_4.png
@@ -67,12 +67,12 @@ to fill the holes.
:align: center
Most coins are well segmented out of the background. Small objects from
the background can be easily removed using the ``ndimage.label``
the background can be easily removed using the ``ndi.label``
function to remove objects smaller than a small threshold.
::
>>> label_objects, nb_labels = ndimage.label(fill_coins)
>>> label_objects, nb_labels = ndi.label(fill_coins)
>>> sizes = np.bincount(label_objects.ravel())
>>> mask_sizes = sizes > 20
>>> mask_sizes[0] = 0
@@ -159,11 +159,11 @@ background.
We remove a few small holes with mathematical morphology::
>>> segmentation = ndimage.binary_fill_holes(segmentation - 1)
>>> segmentation = ndi.binary_fill_holes(segmentation - 1)
We can now label all the coins one by one using ``ndimage.label``::
We can now label all the coins one by one using ``ndi.label``::
>>> labeled_coins, _ = ndimage.label(segmentation)
>>> labeled_coins, _ = ndi.label(segmentation)
.. image:: ../auto_examples/applications/images/plot_coins_segmentation_9.png
:target: ../auto_examples/applications/plot_coins_segmentation.html