Returning the corner response

skimage/feature/corner.py

@@ -547,7 +547,7 @@ def corner_peaks(image, min_distance=10, threshold_abs=0, threshold_rel=0.1,
         return peaks
 
 
-def corner_fast(image, n=12, threshold=0.15, non_max_shape=(3, 3)):
+def corner_fast(image, n=12, threshold=0.15):
 
     """Extract FAST corners for a given image.
 
@@ -564,9 +564,6 @@ def corner_fast(image, n=12, threshold=0.15, non_max_shape=(3, 3)):
         Threshold used in deciding whether the pixels on the circle are
         brighter, darker or similar w.r.t. the test pixel. Decrease the
         threshold when more corners are desired and vice-versa.
-    non_max_shape : tuple of two odd int
-        Represents the area in which Non-maximal suppression is applied.
-        By default, a 3 x 3 area is used.
 
     Returns
     -------
@@ -586,12 +583,4 @@ def corner_fast(image, n=12, threshold=0.15, non_max_shape=(3, 3)):
 
     image = img_as_float(image)
     image = np.ascontiguousarray(image)
-    corner_response = _corner_fast(image, n, threshold)
-
-    # Non-maximal Suppression
-    corner_zero_mask = corner_response != 0
-    maximas = (maximum_filter(corner_response, non_max_shape) == corner_response) & corner_zero_mask
-    x, y = np.where(maximas == True)
-
-    corners = np.squeeze(np.dstack((x, y)))
-    return corners
+    return _corner_fast(image, n, threshold)