From 06142872b45168eee54de76eafcd90e6118da2b4 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Mon, 8 Oct 2012 20:30:33 -0400
Subject: [PATCH] DOC: Add imports to doctests to fix errors

---
 skimage/morphology/grey.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/skimage/morphology/grey.py b/skimage/morphology/grey.py
index e7e52de4..45d11729 100644
--- a/skimage/morphology/grey.py
+++ b/skimage/morphology/grey.py
@@ -45,6 +45,7 @@ def erosion(image, selem, out=None, shift_x=False, shift_y=False):
     Examples
     --------
     >>> # Erosion shrinks bright regions
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> bright_square = np.array([[0, 0, 0, 0, 0],
     ...                           [0, 1, 1, 1, 0],
@@ -97,6 +98,7 @@ def dilation(image, selem, out=None, shift_x=False, shift_y=False):
     Examples
     --------
     >>> # Dilation enlarges bright regions
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> bright_pixel = np.array([[0, 0, 0, 0, 0],
     ...                          [0, 0, 0, 0, 0],
@@ -146,6 +148,7 @@ def opening(image, selem, out=None):
     Examples
     --------
     >>> # Open up gap between two bright regions (but also shrink regions)
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> bad_connection = np.array([[1, 0, 0, 0, 1],
     ...                            [1, 1, 0, 1, 1],
@@ -196,6 +199,7 @@ def closing(image, selem, out=None):
     Examples
     --------
     >>> # Close a gap between two bright lines
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> broken_line = np.array([[0, 0, 0, 0, 0],
     ...                         [0, 0, 0, 0, 0],
@@ -245,6 +249,7 @@ def white_tophat(image, selem, out=None):
     Examples
     --------
     >>> # Subtract grey background from bright peak
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> bright_on_grey = np.array([[2, 3, 3, 3, 2],
     ...                            [3, 4, 5, 4, 3],
@@ -294,6 +299,7 @@ def black_tophat(image, selem, out=None):
     Examples
     --------
     >>> # Change dark peak to bright peak and subtract background
+    >>> import numpy as np
     >>> from skimage.morphology import square
     >>> dark_on_grey = np.array([[7, 6, 6, 6, 7],
     ...                          [6, 5, 4, 5, 6],