diff --git a/doc/examples/segmentation/plot_boundary_merge.py b/doc/examples/segmentation/plot_boundary_merge.py
index bcfd7e06..b5a1c3a2 100644
--- a/doc/examples/segmentation/plot_boundary_merge.py
+++ b/doc/examples/segmentation/plot_boundary_merge.py
@@ -3,8 +3,8 @@
 Hierarchical Merging of Region Boundary RAGs
 ============================================
 
-This examples demonstrates how to perform hierarchical merging on region
-boundary Region Adjacency Grapghs (RAGs). Region boundary RAGs can be
+This example demonstrates how to perform hierarchical merging on region
+boundary Region Adjacency Graphs (RAGs). Region boundary RAGs can be
 contructed with the :py:func:`skimage.future.graph.rag_boundary` function.
 The regions with the lowest edge weights are successively merged until there
 is no edge with weight less than ``thresh``. The hierarchical merging is done
diff --git a/doc/examples/segmentation/plot_rag_boundary.py b/doc/examples/segmentation/plot_rag_boundary.py
index 257d67d9..99211a14 100644
--- a/doc/examples/segmentation/plot_rag_boundary.py
+++ b/doc/examples/segmentation/plot_rag_boundary.py
@@ -4,7 +4,7 @@ Region Boundary based RAGs
 ==========================
 
 Construct a region boundary RAG with the ``rag_boundary`` function. The
-function  :py:func:`skimage.future.graph.rag_boundary`, takes an
+function  :py:func:`skimage.future.graph.rag_boundary` takes an
 ``edge_map`` argument, which gives the significance of a feature (such as
 edges) being present at each pixel. In a region boundary RAG, the edge weight
 between two regions is the average value of the corresponding pixels in