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Test for the two neighborhood values

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Chintak Sheth
2013-05-24 00:05:44 +05:30
parent 1ef98dae8c
commit a2a40de83e
2 changed files with 31 additions and 13 deletions
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skimage/morphology/convex_hull.py
+1 -1
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@@ -66,7 +66,7 @@ def convex_hull_image(image):
return mask
def convex_hull_object(image, neighbors=8):
def convex_hull_object(image, neighbors):
"""Compute the convex hull image of individual objects in a binary image.
The convex hull is the set of pixels included in the smallest convex
skimage/morphology/tests/test_convex_hull.py
+30 -12
View File
@@ -69,23 +69,41 @@ def test_possible_hull():
@skipif(not scipy_spatial)
def test_object():
image = np.array(
[[1, 0, 1, 0, 0, 0, 0, 0, 0],
[1, 0, 1, 0, 1, 0, 0, 0, 1],
[0, 1, 0, 0, 0, 1, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0, 0, 1, 0],
[[0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 1, 0],
[1, 0, 0, 0, 0, 0, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=bool)
expected = np.array(
[[1, 1, 1, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 1, 1, 1, 1, 1],
[0, 1, 0, 0, 0, 1, 1, 1, 1],
[0, 0, 0, 0, 0, 0, 1, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 1, 0],
expected4 = np.array(
[[0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 1, 0, 1],
[1, 1, 1, 0, 0, 0, 0, 1, 0],
[1, 1, 0, 0, 0, 0, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=bool)
assert_array_equal(convex_hull_object(image), expected)
assert_array_equal(convex_hull_object(image, 4), expected4)
expected8 = np.array(
[[0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 1, 1, 1],
[1, 1, 1, 0, 0, 0, 1, 1, 1],
[1, 1, 0, 0, 0, 0, 1, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=bool)
assert_array_equal(convex_hull_object(image, 8), expected8)
if __name__ == "__main__":
np.testing.run_module_suite()