Files
2016-05-14 18:20:04 +01:00

166 lines
4.2 KiB
Python

import numpy as np
from numpy.testing import assert_array_equal, assert_
from skimage.segmentation import clear_border
def test_clear_border():
image = np.array(
[[0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[1, 0, 0, 1, 0, 1, 0, 0, 0],
[0, 0, 1, 1, 1, 1, 1, 0, 0],
[0, 1, 1, 1, 1, 1, 1, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]])
# test default case
result = clear_border(image.copy())
ref = image.copy()
ref[2, 0] = 0
ref[0, -2] = 0
assert_array_equal(result, ref)
# test buffer
result = clear_border(image.copy(), 1)
assert_array_equal(result, np.zeros(result.shape))
# test background value
result = clear_border(image.copy(), buffer_size=1, bgval=2)
assert_array_equal(result, 2 * np.ones_like(image))
def test_clear_border_3d():
image = np.array([
[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[1, 0, 0, 0]],
[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 0, 1, 0],
[0, 0, 0, 0]],
[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]],
])
# test default case
result = clear_border(image.copy())
ref = image.copy()
ref[0, 3, 0] = 0
assert_array_equal(result, ref)
# test buffer
result = clear_border(image.copy(), 1)
assert_array_equal(result, np.zeros(result.shape))
# test background value
result = clear_border(image.copy(), buffer_size=1, bgval=2)
assert_array_equal(result, 2 * np.ones_like(image))
def test_clear_border_non_binary():
image = np.array([[1, 2, 3, 1, 2],
[3, 3, 5, 4, 2],
[3, 4, 5, 4, 2],
[3, 3, 2, 1, 2]])
result = clear_border(image)
expected = np.array([[0, 0, 0, 0, 0],
[0, 0, 5, 4, 0],
[0, 4, 5, 4, 0],
[0, 0, 0, 0, 0]])
assert_array_equal(result, expected)
assert_(not np.all(image == result))
def test_clear_border_non_binary_3d():
image3d = np.array(
[[[1, 2, 3, 1, 2],
[3, 3, 3, 4, 2],
[3, 4, 3, 4, 2],
[3, 3, 2, 1, 2]],
[[1, 2, 3, 1, 2],
[3, 3, 5, 4, 2],
[3, 4, 5, 4, 2],
[3, 3, 2, 1, 2]],
[[1, 2, 3, 1, 2],
[3, 3, 3, 4, 2],
[3, 4, 3, 4, 2],
[3, 3, 2, 1, 2]],
])
result = clear_border(image3d)
expected = np.array(
[[[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0],
[0, 0, 5, 0, 0],
[0, 0, 5, 0, 0],
[0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]],
])
assert_array_equal(result, expected)
assert_(not np.all(image3d == result))
def test_clear_border_non_binary_inplace():
image = np.array([[1, 2, 3, 1, 2],
[3, 3, 5, 4, 2],
[3, 4, 5, 4, 2],
[3, 3, 2, 1, 2]])
result = clear_border(image, in_place=True)
expected = np.array([[0, 0, 0, 0, 0],
[0, 0, 5, 4, 0],
[0, 4, 5, 4, 0],
[0, 0, 0, 0, 0]])
assert_array_equal(result, expected)
assert_array_equal(image, result)
def test_clear_border_non_binary_inplace_3d():
image3d = np.array(
[[[1, 2, 3, 1, 2],
[3, 3, 3, 4, 2],
[3, 4, 3, 4, 2],
[3, 3, 2, 1, 2]],
[[1, 2, 3, 1, 2],
[3, 3, 5, 4, 2],
[3, 4, 5, 4, 2],
[3, 3, 2, 1, 2]],
[[1, 2, 3, 1, 2],
[3, 3, 3, 4, 2],
[3, 4, 3, 4, 2],
[3, 3, 2, 1, 2]],
])
result = clear_border(image3d, in_place=True)
expected = np.array(
[[[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0],
[0, 0, 5, 0, 0],
[0, 0, 5, 0, 0],
[0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]],
])
assert_array_equal(result, expected)
assert_array_equal(image3d, result)
if __name__ == "__main__":
np.testing.run_module_suite()