DOC: typo in examples

Examples/BasicFilters/IndexedToRGBExample.rst

@@ -7,7 +7,7 @@ If such regions are easy to manipulate -- it is easier and faster to compare two
 than a RGB value -- it is different when it comes to displaying the results.
 
 Here we present a convient way to convert such indexed image to a color image. In
-such conversion, it is important to ensure that neighborhood region, which are
+such conversion, it is important to ensure that neighboring regions, which are
 likely to have consecutive number have easily dicernable colors. This is done
 randomly using a hash function by ``ScalarToRGBPixelFunctor``.
 

Examples/BasicFilters/PrintableImageFilterExample.rst

@@ -14,7 +14,7 @@ matching the red band with the red color, etc.
 Some satellites (SPOT 5 is an example) do not acquire all the visible
 spectral bands: the blue can be missing and replaced by some other wavelength of
 interest for a specific application.  In these situations, another mapping has
-to be created. That's why, the vegetation often appears in red in satellite
+to be created. That's why the vegetation often appears in red in satellite
 images.
 
 The band order in the image products can be also quite tricky. It could be in