Merge pull request #1798 from kevin-keraudren/seamcarving-typos

DOC: Fix typos in seam carving example

doc/examples/plot_seam_carving.py

@@ -39,29 +39,28 @@ plt.figure()
 plt.title('Resized Image')
 plt.imshow(resized)
 
-
 """
 .. image:: PLOT2RST.current_figure
 """
 
 out = transform.seam_carve(img, eimg, 'vertical', 200)
 plt.figure()
-plt.title('Resized using Seam-Carving')
+plt.title('Resized using Seam Carving')
 plt.imshow(out)
 
 """
 .. image:: PLOT2RST.current_figure
 
-As you can see, resizing as distorted the rocket and the objects around,
-whereas seam carving has reszied by removing the empty spaces in between.
+Resizing distorts the rocket and surrounding objects, whereas seam carving
+removes empty spaces and preserves object proportions.
 
 Object Removal
 --------------
 
-Seam Carving can also be used to remove atrifacts from images. To do that, we
-have to ensure that pixels to be removes get less importance. In the following
-code I approximately mark the rocket with a mask, and then decrease the
-importance of those pixels
+Seam carving can also be used to remove artifacts from images.
+This requires weighting the artifact with low values. Recall lower weights are
+preferentially removed in seam carving. The following code masks the rocket's
+region with low weights, indicating it should be removed.
 
 """
 
@@ -78,6 +77,7 @@ plt.figure()
 plt.title('Object Marked')
 
 plt.imshow(masked_img)
+
 """
 .. image:: PLOT2RST.current_figure
 """
@@ -90,6 +90,7 @@ out = transform.seam_carve(img, eimg, 'vertical', 90)
 resized = transform.resize(img, out.shape)
 plt.imshow(out)
 plt.show()
+
 """
 .. image:: PLOT2RST.current_figure
 """