Update _gabor.py

Refactoring ```gabor_filter```

skimage/filters/_gabor.py

@@ -3,7 +3,7 @@
 from .._shared.utils import assert_nD
 
 
-__all__ = ['gabor_kernel', 'gabor_filter']
+__all__ = ['gabor_kernel', 'gabor']
 
 
 def _sigma_prefactor(bandwidth):
@@ -94,7 +94,7 @@ def gabor_kernel(frequency, theta=0, bandwidth=1, sigma_x=None, sigma_y=None,
     return g
 
 
-def gabor_filter(image, frequency, theta=0, bandwidth=1, sigma_x=None,
+def gabor(image, frequency, theta=0, bandwidth=1, sigma_x=None,
                  sigma_y=None, n_stds=3, offset=0, mode='reflect', cval=0):
     """Return real and imaginary responses to Gabor filter.
 
@@ -148,19 +148,19 @@ def gabor_filter(image, frequency, theta=0, bandwidth=1, sigma_x=None,
 
     Examples
     --------
-    >>> from skimage.filter import gabor_filter
+    >>> from skimage.filter import gabor
     >>> from skimage import data, io
     >>> from matplotlib import pyplot as plt  # doctest: +SKIP
 
     >>> image = data.coins()
     >>> # detecting edges in a coin image
-    >>> filt_real, filt_imag = gabor_filter(image, frequency=0.6)
+    >>> filt_real, filt_imag = gabor(image, frequency=0.6)
     >>> plt.figure()            # doctest: +SKIP
     >>> io.imshow(filt_real)    # doctest: +SKIP
     >>> io.show()               # doctest: +SKIP
 
     >>> # less sensitivity to finer details with the lower frequency kernel
-    >>> filt_real, filt_imag = gabor_filter(image, frequency=0.1)
+    >>> filt_real, filt_imag = gabor(image, frequency=0.1)
     >>> plt.figure()            # doctest: +SKIP
     >>> io.imshow(filt_real)    # doctest: +SKIP
     >>> io.show()               # doctest: +SKIP