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tests and minor corrections

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Vighnesh Birodkar
2014-04-09 10:27:53 +05:30
parent a4029c0e71
commit 2e441b2e5b
2 changed files with 33 additions and 29 deletions
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skimage/feature/blob.py
+19 -20
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@@ -351,27 +351,25 @@ def blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=500,
Examples
--------
>>> from skimage import data, feature, exposure
>>> from skimage import data, feature
>>> img = data.coins()
>>> img = exposure.equalize_hist(img) # improves detection
>>> feature.blob_log(img, threshold = .3)
array([[113, 323, 1],
[121, 272, 17],
[124, 336, 11],
[126, 46, 11],
[126, 208, 11],
[127, 102, 11],
[128, 154, 11],
[185, 344, 17],
[194, 213, 17],
[194, 276, 17],
[197, 44, 11],
[198, 103, 11],
[198, 155, 11],
[260, 174, 17],
[263, 244, 17],
[263, 302, 17],
[266, 115, 11]])
>>> feature.blob_doh(img,threshold = 700)
array([[121, 271, 30],
[123, 44, 23],
[123, 205, 20],
[124, 336, 20],
[126, 101, 20],
[126, 153, 20],
[156, 302, 30],
[185, 348, 30],
[192, 212, 23],
[193, 275, 23],
[195, 100, 23],
[197, 153, 20],
[260, 173, 30],
[262, 243, 23],
[265, 113, 23],
[270, 363, 30]])
Notes
-----
@@ -381,6 +379,7 @@ def blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=500,
methods line :py:meth:`blob_dog` and :py:meth:`blob_log` the computation
of Gaussians for larger `sigma` takes more time.
"""
if image.ndim != 2:
raise ValueError("'image' must be a grayscale ")