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Make test_tv_denoise_2d more strict.

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Original test only checked that tv_denoise reduced the total variation. This change makes sure that the reduction is significant.
This commit is contained in:
Tony S Yu
2011-05-31 15:50:09 -04:00
parent 637a568ae4
commit 680a89e5ce
1 changed files with 1 additions and 1 deletions
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scikits/image/filter/tests/test_tv_denoise.py
+1 -1
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@@ -22,7 +22,7 @@ class TestTvDenoise():
grad = ndimage.morphological_gradient(lena, size=((3,3)))
grad_denoised = ndimage.morphological_gradient(denoised_lena, size=((3,3)))
# test if the total variation has decreased
assert np.sqrt((grad_denoised**2).sum()) < np.sqrt((grad**2).sum())
assert np.sqrt((grad_denoised**2).sum()) < np.sqrt((grad**2).sum()) / 2
denoised_lena_int = F.tv_denoise(lena.astype(np.int32), \
weight=60.0, keep_type=True)
assert denoised_lena_int.dtype is np.dtype('int32')