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separated filter masks of mean filtering in adaptive thresholding

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Johannes Schönberger
2012-04-26 20:28:14 +02:00
parent 4ad79cb73e
commit 829f6ad770
1 changed files with 5 additions and 2 deletions
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skimage/filter/_thresholding.pyx
+5 -2
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@@ -20,8 +20,11 @@ def _threshold_adaptive(np.ndarray[np.double_t, ndim=2] image, int block_size,
sigma = (block_size - 1) / 6.0
thres_image = scipy.ndimage.gaussian_filter(image, sigma, mode=mode)
elif method == 'mean':
mask = 1. / block_size**2 * np.ones((block_size, block_size))
thres_image = scipy.ndimage.convolve(image, mask, mode=mode)
mask = 1. / block_size * np.ones((block_size,))
# separation of filters to speedup convolution
thres_image = scipy.ndimage.convolve1d(image, mask, axis=0, mode=mode)
thres_image = scipy.ndimage.convolve1d(thres_image, mask, axis=1,
mode=mode)
elif method == 'median':
thres_image = scipy.ndimage.median_filter(image, block_size, mode=mode)