mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 17:02:55 +08:00
Stefan van der Walt
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
import numpy as np
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from numpy.testing import assert_array_equal, assert_
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from skimage.segmentation import clear_border
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def test_clear_border():
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image = np.array(
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[[0, 0, 0, 0, 0, 0, 0, 1, 0],
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[0, 0, 0, 0, 1, 0, 0, 0, 0],
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[1, 0, 0, 1, 0, 1, 0, 0, 0],
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[0, 0, 1, 1, 1, 1, 1, 0, 0],
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[0, 1, 1, 1, 1, 1, 1, 1, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0]])
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# test default case
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result = clear_border(image.copy())
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ref = image.copy()
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ref[2, 0] = 0
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ref[0, -2] = 0
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assert_array_equal(result, ref)
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# test buffer
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result = clear_border(image.copy(), 1)
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assert_array_equal(result, np.zeros(result.shape))
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# test background value
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result = clear_border(image.copy(), buffer_size=1, bgval=2)
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assert_array_equal(result, 2 * np.ones_like(image))
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def test_clear_border_non_binary():
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image = np.array([[1, 2, 3, 1, 2],
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[3, 3, 5, 4, 2],
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[3, 4, 5, 4, 2],
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[3, 3, 2, 1, 2]])
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result = clear_border(image)
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expected = np.array([[0, 0, 0, 0, 0],
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[0, 0, 5, 4, 0],
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[0, 4, 5, 4, 0],
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[0, 0, 0, 0, 0]])
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assert_array_equal(result, expected)
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assert_(not np.all(image == result))
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def test_clear_border_non_binary_inplace():
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image = np.array([[1, 2, 3, 1, 2],
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[3, 3, 5, 4, 2],
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[3, 4, 5, 4, 2],
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[3, 3, 2, 1, 2]])
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result = clear_border(image, in_place=True)
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expected = np.array([[0, 0, 0, 0, 0],
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[0, 0, 5, 4, 0],
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[0, 4, 5, 4, 0],
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[0, 0, 0, 0, 0]])
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assert_array_equal(result, expected)
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assert_array_equal(image, result)
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if __name__ == "__main__":
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np.testing.run_module_suite()
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