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Blob detection supports for non-integer sigmas

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This commit is contained in:
Eric
2015-05-02 18:12:30 +02:00
committed by Daniel Wennberg
parent edde93048f
commit 43246e30af
1 changed files with 12 additions and 4 deletions
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skimage/feature/blob.py
+12 -4
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@@ -200,9 +200,11 @@ def blob_dog(image, min_sigma=1, max_sigma=50, sigma_ratio=1.6, threshold=2.0,
footprint=np.ones((3, 3, 3)),
threshold_rel=0.0,
exclude_border=False)
# Convert array to float32
lm = local_maxima.astype('float32')
# Convert the last index to its corresponding scale value
local_maxima[:, 2] = sigma_list[local_maxima[:, 2]]
lm[:,2] = sigma_list[local_maxima[:,2]]
local_maxima = lm
return _prune_blobs(local_maxima, overlap)
@@ -300,8 +302,11 @@ def blob_log(image, min_sigma=1, max_sigma=50, num_sigma=10, threshold=.2,
threshold_rel=0.0,
exclude_border=False)
# Convert array to float32
lm = local_maxima.astype('float32')
# Convert the last index to its corresponding scale value
local_maxima[:, 2] = sigma_list[local_maxima[:, 2]]
lm[:,2] = sigma_list[local_maxima[:,2]]
local_maxima = lm
return _prune_blobs(local_maxima, overlap)
@@ -408,6 +413,9 @@ def blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=0.01,
threshold_rel=0.0,
exclude_border=False)
# Convert array to float32
lm = local_maxima.astype('float32')
# Convert the last index to its corresponding scale value
local_maxima[:, 2] = sigma_list[local_maxima[:, 2]]
lm[:,2] = sigma_list[local_maxima[:,2]]
local_maxima = lm
return _prune_blobs(local_maxima, overlap)