diff --git a/skimage/_shared/interpolation.pyx b/skimage/_shared/interpolation.pyx
index f5110480..583fe43c 100644
--- a/skimage/_shared/interpolation.pyx
+++ b/skimage/_shared/interpolation.pyx
@@ -5,13 +5,13 @@ from .utils import _mode_deprecations
 
 
 def coord_map_py(Py_ssize_t dim, long coord, mode):
-    """ interpolation.coord_map python wrapper """
+    """interpolation.coord_map python wrapper"""
     cdef char mode_c = ord(mode[0].upper())
     return coord_map(dim, coord, mode_c)
 
 
 def extend_image(image, pad=10, mode='constant', cval=0):
-    """ Pad a 2D image by ``pad`` pixels on each side.
+    """Pad a 2D image by ``pad`` pixels on each side.
 
     Parameters
     ----------
diff --git a/skimage/transform/_warps.py b/skimage/transform/_warps.py
index 02d66d91..830c98ed 100644
--- a/skimage/transform/_warps.py
+++ b/skimage/transform/_warps.py
@@ -64,7 +64,7 @@ def resize(image, output_shape, order=1, mode='constant', cval=0, clip=True,
     Note
     ----
     Modes 'reflect' and 'symmetric' are similar, but differ in whether the edge
-    voxels are duplicated during the reflection.  As an example, if an array
+    pixels are duplicated during the reflection.  As an example, if an array
     has values [0, 1, 2] and was padded to the right by four values using
     symmetric, the result would be [0, 1, 2, 2, 1, 0, 0], while for reflect it
     would be [0, 1, 2, 1, 0, 1, 2].
diff --git a/skimage/transform/_warps_cy.pyx b/skimage/transform/_warps_cy.pyx
index befc1e89..a3167016 100644
--- a/skimage/transform/_warps_cy.pyx
+++ b/skimage/transform/_warps_cy.pyx
@@ -80,7 +80,7 @@ def _warp_fast(cnp.ndarray image, cnp.ndarray H, output_shape=None,
     Note
     ----
     Modes 'reflect' and 'symmetric' are similar, but differ in whether the edge
-    voxels are duplicated during the reflection.  As an example, if an array
+    pixels are duplicated during the reflection.  As an example, if an array
     has values [0, 1, 2] and was padded to the right by four values using
     symmetric, the result would be [0, 1, 2, 2, 1, 0, 0], while for reflect it
     would be [0, 1, 2, 1, 0, 1, 2].