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Skip build on 3.2
Skip doc build on 3.2 Skip doc build on 3.2 Use block literal Fix html make target Revert change to threshold_isodata Fix skimage.novice and thresholding warnings Fix feature.__init__ __all__ Fix generic.py link Doc reference fixes Fix missing class member warnings Add parallelization to the user guide toc Remove unused automodule directives Fix sub_dirs in gallery_index Remove unused file and fix reference to api/api Add missing links to user guide Use pre-output links to images Recover from Juan's doc 'upgrades'
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@@ -11,7 +11,7 @@ the coins cannot be done directly from the histogram of grey values,
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because the background shares enough grey levels with the coins that a
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thresholding segmentation is not sufficient.
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.. image:: ../../_images/plot_coins_segmentation_1.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_1.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -26,7 +26,7 @@ Simply thresholding the image leads either to missing significant parts
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of the coins, or to merging parts of the background with the
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coins. This is due to the inhomogeneous lighting of the image.
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.. image:: ../../_images/plot_coins_segmentation_2.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_2.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -53,7 +53,7 @@ boundary of the coins, or inside the coins.
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>>> from scipy import ndimage
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>>> fill_coins = ndimage.binary_fill_holes(edges)
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.. image:: ../../_images/plot_coins_segmentation_3.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_3.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -62,7 +62,7 @@ we fill the inner part of the coins using the
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``ndimage.binary_fill_holes`` function, which uses mathematical morphology
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to fill the holes.
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.. image:: ../../_images/plot_coins_segmentation_4.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_4.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -83,7 +83,7 @@ has not been segmented correctly at all. The reason is that the contour
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that we got from the Canny detector was not completely closed, therefore
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the filling function did not fill the inner part of the coin.
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.. image:: ../../_images/plot_coins_segmentation_5.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_5.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -128,7 +128,7 @@ separate the coins from the background.
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and here is the corresponding 2-D plot:
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.. image:: ../../_images/plot_coins_segmentation_6.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_6.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -139,7 +139,7 @@ extreme parts of the histogram of grey values::
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>>> markers[coins < 30] = 1
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>>> markers[coins > 150] = 2
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.. image:: ../../_images/plot_coins_segmentation_7.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_7.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -148,7 +148,7 @@ Let us now compute the watershed transform::
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>>> from skimage.morphology import watershed
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>>> segmentation = watershed(elevation_map, markers)
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.. image:: ../../_images/plot_coins_segmentation_8.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_8.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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@@ -165,7 +165,7 @@ We can now label all the coins one by one using ``ndimage.label``::
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>>> labeled_coins, _ = ndimage.label(segmentation)
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.. image:: ../../_images/plot_coins_segmentation_9.png
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.. image:: ../auto_examples/applications/images/plot_coins_segmentation_9.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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:align: center
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