Removed unused import, applied pep8 formatting and corrected a method call

that should have been refactored.

skimage/feature/_hog.py

@@ -1,8 +1,8 @@
 import numpy as np
-from scipy.ndimage import uniform_filter
 from .._shared.utils import assert_nD
 from . import _hoghistogram
 
+
 def hog(image, orientations=9, pixels_per_cell=(8, 8),
         cells_per_block=(3, 3), visualise=False, normalise=False):
     """Extract Histogram of Oriented Gradients (HOG) for a given image.
@@ -116,8 +116,8 @@ def hog(image, orientations=9, pixels_per_cell=(8, 8),
     # compute orientations integral images
     orientation_histogram = np.zeros((n_cellsy, n_cellsx, orientations))
 
-    _hoghistogram.hog_histograms(gx, gy, cx, cy, sx, sy, n_cellsx, n_cellsy, 
-        visualise, orientations, orientation_histogram)
+    _hoghistogram.hog_histograms(gx, gy, cx, cy, sx, sy, n_cellsx, n_cellsy,
+                                 visualise, orientations, orientation_histogram)
 
     # now for each cell, compute the histogram
     hog_image = None

skimage/feature/_hoghistogram.pyx

@@ -117,7 +117,7 @@ def hog_histograms(cnp.float64_t[:, :] gx,
             x = cx / 2
 
             while x < cx2:
-                orientation_histogram[yi, xi, i] = CellHog(magnitude, 
+                orientation_histogram[yi, xi, i] = cell_hog(magnitude,
                     orientation, ori1, ori2, cx, cy, x, y, sx, sy)
                 xi += 1
                 x += cx