Fix doc for denoise guassian (scikit-image#3869)

* Fix doc for denoise guassian

* Fixup the test for the warnings for scipy 1.3 and the matrix
subsclass

Author: hmaarrfk

skimage/filters/rank/bilateral.py

@@ -88,7 +88,7 @@ def mean_bilateral(image, selem, out=None, mask=None, shift_x=False,
 
     See also
     --------
-    skimage.filters.denoise_bilateral for a Gaussian bilateral filter.
+    denoise_bilateral
 
     Examples
     --------
@@ -205,7 +205,7 @@ def sum_bilateral(image, selem, out=None, mask=None, shift_x=False,
 
     See also
     --------
-    skimage.filters.denoise_bilateral for a Gaussian bilateral filter.
+    denoise_bilateral
 
     Examples
     --------

skimage/segmentation/tests/test_random_walker.py

@@ -15,7 +15,7 @@
 PYAMG_MISSING_WARNING = r'pyamg|\A\Z'
 PYAMG_OR_SCIPY_WARNING = SCIPY_RANK_WARNING + '|' + PYAMG_MISSING_WARNING
 
-if (Version(np.__version__) >= '1.15.0'):
+if Version(np.__version__) >= '1.15.0' and Version(scipy.__version__) < '1.3':
     NUMPY_MATRIX_WARNING = 'matrix subclass'
 else:
     NUMPY_MATRIX_WARNING = None
@@ -352,7 +352,7 @@ def test_trivial_cases():
             output_labels = random_walker(img, markers)
     assert np.all(output_labels[markers == 1] == 1)
     # Here 0-labeled pixels could not be determined (no connexion to seed)
-    assert np.all(output_labels[markers == 0] == -1) 
+    assert np.all(output_labels[markers == 0] == -1)
     with expected_warnings(["Returning provided labels"]):
         test = random_walker(img, markers, return_full_prob=True)