wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-07-05 05:22:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

Use sobel for image derivatives

Browse Source
This commit is contained in:
Johannes Schönberger
2012-09-11 19:23:15 +02:00
parent e26dc02ead
commit 4366462033
1 changed files with 3 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
skimage/feature/corner.py
+3 -6
View File
@@ -5,7 +5,7 @@ from . import peak
def _compute_derivatives(image):
"""Compute derivatives in x and y direction.
"""Compute derivatives in x and y direction using the Sobel operator.
Parameters
----------
@@ -19,11 +19,8 @@ def _compute_derivatives(image):
"""
gradient_weights = np.array([-1, 0, 1])
imx = ndimage.convolve1d(image, gradient_weights, axis=0,
mode='constant', cval=0)
imy = ndimage.convolve1d(image, gradient_weights, axis=1,
mode='constant', cval=0)
imx = ndimage.sobel(image, axis=0, mode='constant', cval=0)
imy = ndimage.sobel(image, axis=1, mode='constant', cval=0)
return imx, imy