diff --git a/TODO.txt b/TODO.txt
index 6a5a4ca2..bfc0f4c0 100644
--- a/TODO.txt
+++ b/TODO.txt
@@ -15,8 +15,6 @@ Version 0.10
 * Remove deprecated functions in `skimage.filter.rank.*`
 * Remove deprecated parameter `epsilon` of `skimage.viewer.LineProfile`
 * Remove backwards-compatability of `skimage.measure.regionprops`
-* Remove {`ratio`, `sigma`} deprecation warnings of `skimage.segmentation.slic`
-  and also remove explicit `sigma` parameter from doc-string example
 * Change default mode of random_walker segmentation to 'cg_mg' > 'cg' > 'bf',
   depending on which optional dependencies are available.
 * Remove deprecated `out` parameter of `skimage.morphology.binary_*`
diff --git a/doc/examples/plot_segmentations.py b/doc/examples/plot_segmentations.py
index 931e92d5..b87dd146 100644
--- a/doc/examples/plot_segmentations.py
+++ b/doc/examples/plot_segmentations.py
@@ -70,7 +70,7 @@ from skimage.util import img_as_float
 
 img = img_as_float(lena()[::2, ::2])
 segments_fz = felzenszwalb(img, scale=100, sigma=0.5, min_size=50)
-segments_slic = slic(img, ratio=10, n_segments=250, sigma=1)
+segments_slic = slic(img, n_segments=250, compactness=10, sigma=1)
 segments_quick = quickshift(img, kernel_size=3, max_dist=6, ratio=0.5)
 
 print("Felzenszwalb's number of segments: %d" % len(np.unique(segments_fz)))
diff --git a/skimage/segmentation/slic_superpixels.py b/skimage/segmentation/slic_superpixels.py
index 11373381..7135047e 100644
--- a/skimage/segmentation/slic_superpixels.py
+++ b/skimage/segmentation/slic_superpixels.py
@@ -10,8 +10,8 @@ from skimage.segmentation._slic import _slic_cython, _enforce_label_connectivity
 from skimage.color import rgb2lab
 
 
-def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=None,
-         spacing=None, multichannel=True, convert2lab=True, ratio=None,
+def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=0,
+         spacing=None, multichannel=True, convert2lab=True,
          enforce_connectivity=False, min_size_factor=0.5, max_size_factor=3,
          slic_zero=False):
     """Segments image using k-means clustering in Color-(x,y,z) space.
@@ -48,8 +48,6 @@ def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=None,
         Whether the input should be converted to Lab colorspace prior to
         segmentation. For this purpose, the input is assumed to be RGB. Highly
         recommended.
-    ratio : float, optional
-        Synonym for `compactness`. This keyword is deprecated.
     enforce_connectivity: bool, optional (default False)
         Whether the generated segments are connected or not
     min_size_factor: float, optional
@@ -100,23 +98,13 @@ def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=None,
     >>> from skimage.segmentation import slic
     >>> from skimage.data import lena
     >>> img = lena()
-    >>> segments = slic(img, n_segments=100, compactness=10, sigma=0)
+    >>> segments = slic(img, n_segments=100, compactness=10)
 
     Increasing the compactness parameter yields more square regions:
 
-    >>> segments = slic(img, n_segments=100, compactness=20, sigma=0)
+    >>> segments = slic(img, n_segments=100, compactness=20)
 
     """
-
-    if sigma is None:
-        warnings.warn('Default value of keyword `sigma` changed from ``1`` '
-                      'to ``0``.')
-        sigma = 0
-    if ratio is not None:
-        warnings.warn('Keyword `ratio` is deprecated. Use `compactness` '
-                      'instead.')
-        compactness = ratio
-
     if enforce_connectivity is None:
         warnings.warn('Deprecation: enforce_connectivity will default to'
                       ' True in future versions.')