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ENH contours of segmentation in segmentation tutorial
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@@ -107,6 +107,7 @@ elevation_map = sobel(coins)
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segmentation = watershed(elevation_map, markers)
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plt.figure(figsize=(7, 3))
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plt.subplot(131)
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plt.imshow(markers, cmap=plt.cm.spectral, interpolation='nearest')
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@@ -124,12 +125,24 @@ plt.title('segmentation')
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plt.subplots_adjust(hspace=0.01, wspace=0.01, top=1, bottom=0, left=0,
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right=1)
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# ------------------- Removing a few small holes ---------------------
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segmentation = ndimage.binary_fill_holes(segmentation - 1)
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#------------------ Labeling the coins --------------------------------
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labeled_coins, _ = ndimage.label(segmentation - 1)
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labeled_coins, _ = ndimage.label(segmentation)
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plt.figure(figsize=(6, 4))
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plt.figure(figsize=(6, 3))
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plt.subplot(121)
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plt.imshow(coins, cmap=plt.cm.gray, interpolation='nearest')
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plt.contour(segmentation, [0.5], linewidths=1.2, colors='y')
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plt.axis('off')
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plt.subplot(122)
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plt.imshow(labeled_coins, cmap=plt.cm.spectral, interpolation='nearest')
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plt.axis('off')
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plt.subplots_adjust(hspace=0.01, wspace=0.01, top=1, bottom=0, left=0,
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right=1)
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plt.show()
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@@ -131,9 +131,13 @@ markers for the background were not well distributed, the barriers in the
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elevation map were high enough for these markers to flood the entire
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background.
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We remove a few small holes with mathematical morphology::
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>>> segmentation = ndimage.binary_fill_holes(segmentation - 1)
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We can now label all the coins one by one using ``ndimage.label``::
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>>> labeled_coins, _ = ndimage.label(segmentation - 1)
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>>> labeled_coins, _ = ndimage.label(segmentation)
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.. image:: ../../_images/plot_coins_segmentation_5.png
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:target: ../auto_examples/applications/plot_coins_segmentation.html
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