Fix misspelled sections

skimage/feature/corner.py

@@ -70,10 +70,10 @@ def corner_kitchen_rosenfeld(image):
     The corner measure is calculated as follows::
 
         (imxx * imy**2 + imyy * imx**2 - 2 * imxy * imx * imy)
-        ------------------------------------------------------
-                        (imx**2 + imy**2)
+            / (imx**2 + imy**2)
 
-    Where imx and imy are the first and imxx, imxy, imyy the second derivatives.
+    Where imx and imy are the first and imxx, imxy, imyy the second
+    derivatives.
 
     Parameters
     ----------

skimage/filter/rank/generic.py

@@ -247,8 +247,8 @@ def maximum(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
     --------
     skimage.morphology.dilation
 
-    Note
-    ----
+    Notes
+    -----
     * the lower algorithm complexity makes the rank.maximum() more efficient
       for larger images and structuring elements
 
@@ -397,8 +397,8 @@ def minimum(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
     --------
     skimage.morphology.erosion
 
-    Note
-    ----
+    Notes
+    -----
     * the lower algorithm complexity makes the rank.minimum() more efficient
       for larger images and structuring elements
 

skimage/morphology/convex_hull.py

@@ -88,8 +88,8 @@ def convex_hull_object(image, neighbors=8):
     hull : ndarray of bool
         Binary image with pixels in convex hull set to True.
 
-    Note
-    ----
+    Notes
+    -----
     This function uses skimage.morphology.label to define unique objects,
     finds the convex hull of each using convex_hull_image, and combines
     these regions with logical OR. Be aware the convex hulls of unconnected

skimage/transform/_warps.py

@@ -252,8 +252,8 @@ def downscale_local_mean(image, factors, cval=0):
     image : ndarray
         Down-sampled image with same number of dimensions as input image.
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = np.arange(15).reshape(3, 5)
     >>> a
     array([[ 0,  1,  2,  3,  4],

skimage/viewer/canvastools/painttool.py

@@ -158,8 +158,8 @@ class PaintTool(CanvasToolBase):
 class CenteredWindow(object):
     """Window that create slices numpy arrays over 2D windows.
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = np.arange(16).reshape(4, 4)
     >>> w = CenteredWindow(1, a.shape)
     >>> a[w.at(1, 1)]