diff --git a/skimage/graph/graph_cut.py b/skimage/graph/graph_cut.py
index 40adcdf8..2e72ac2b 100644
--- a/skimage/graph/graph_cut.py
+++ b/skimage/graph/graph_cut.py
@@ -31,6 +31,13 @@ def threshold_cut(label, rag, thresh):
     >>> labels = segmentation.slic(img)
     >>> rag = graph.rag_meancolor(img, labels)
     >>> new_labels = graph.threshold_cut(labels, rag, 10)
+
+    References
+    ----------
+    .. [1] Alain Tremeau and Philippe Colantoni
+           "Regions Adjacency Graph Applied To Color Image Segmentation"
+           http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.5274
+
     """
     to_remove = [(x, y) for x, y, d in rag.edges_iter(data=True)
                  if d['weight'] >= thresh]
diff --git a/skimage/graph/rag.py b/skimage/graph/rag.py
index e788455d..0b01880d 100644
--- a/skimage/graph/rag.py
+++ b/skimage/graph/rag.py
@@ -66,7 +66,7 @@ def rag_meancolor(img, arr):
     Given an image and its segmentation, this method constructs the
     corresponsing Region Adjacency Graph (RAG).Each node in the RAG
     represents a contiguous pixels with in `img` the same label in
-    `arr`
+    `arr`.
 
     Parameters
     ----------
@@ -87,6 +87,12 @@ def rag_meancolor(img, arr):
     >>> labels = segmentation.slic(img)
     >>> rag = graph.rag_meancolor(img, labels)
 
+    References
+    ----------
+    .. [1] Alain Tremeau and Philippe Colantoni
+           "Regions Adjacency Graph Applied To Color Image Segmentation"
+           http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.5274
+
     """
     g = RAG()