diff --git a/skimage/data/bw_text_skeleton.npy b/skimage/data/bw_text_skeleton.npy
index 9492cb64..2933c484 100644
Binary files a/skimage/data/bw_text_skeleton.npy and b/skimage/data/bw_text_skeleton.npy differ
diff --git a/skimage/morphology/_skeletonize.py b/skimage/morphology/_skeletonize.py
index 58842c6d..04a65da6 100644
--- a/skimage/morphology/_skeletonize.py
+++ b/skimage/morphology/_skeletonize.py
@@ -85,10 +85,10 @@ def skeletonize(image):
     # combinations of 8 binary neighbours. 1's, 2's and 3's are candidates
     # for removal at each iteration of the algorithm.
     lut = [ 0,0,0,1,0,0,1,3,0,0,3,1,1,0,1,3,0,0,0,0,0,0,0,0,2,0,2,0,3,0,3,3,
-            0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,3,0,2,2,
+            0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,2,2,
             0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
             2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,3,0,0,0,0,0,0,0,3,0,0,0,3,0,2,0,
-            0,1,3,1,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
+            0,0,3,1,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
             3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
             2,3,1,3,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
             2,3,0,1,0,0,0,1,0,0,0,0,0,0,0,0,3,3,0,1,0,0,0,0,2,2,0,0,2,0,0,0]
diff --git a/skimage/morphology/tests/test_skeletonize.py b/skimage/morphology/tests/test_skeletonize.py
index 2f9d046e..c9cdbc24 100644
--- a/skimage/morphology/tests/test_skeletonize.py
+++ b/skimage/morphology/tests/test_skeletonize.py
@@ -92,6 +92,23 @@ class TestSkeletonize():
         blocks = correlate(result, mask, mode='constant')
         assert not numpy.any(blocks == 4)
 
+    def test_lut_fix(self):
+        im = np.zeros((6, 6), np.uint8)
+        im[1, 2] = 1
+        im[2, 2] = 1
+        im[2, 3] = 1
+        im[3, 3] = 1
+        im[3, 4] = 1
+        im[4, 4] = 1
+        im[4, 5] = 1
+        result = skeletonize(im)
+        expected = np.array([[0, 0, 0, 0, 0, 0],
+                             [0, 0, 1, 0, 0, 0],
+                             [0, 0, 0, 1, 0, 0],
+                             [0, 0, 0, 0, 1, 0],
+                             [0, 0, 0, 0, 0, 1],
+                             [0, 0, 0, 0, 0, 0]], dtype=np.uint8)
+        assert np.all(result == expected)
 
 class TestMedialAxis():
     def test_00_00_zeros(self):