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44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
# Author: Damian Eads
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import os.path
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import numpy as np
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from numpy.testing import *
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from scikits.image import data_dir
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from scikits.image.io import *
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from scikits.image import data_dir
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from scikits.image.morphology import *
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class TestSElem():
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def test_square_selem(self):
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for k in range(0, 5):
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actual_mask = selem.square(k)
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expected_mask = np.ones((k, k), dtype='uint8')
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assert_equal(expected_mask, actual_mask)
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def test_rectangle_selem(self):
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for i in range(0, 5):
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for j in range(0, 5):
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actual_mask = selem.rectangle(i, j)
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expected_mask = np.ones((i, j), dtype='uint8')
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assert_equal(expected_mask, actual_mask)
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def strel_worker(self, fn, func):
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matlab_masks = np.load(os.path.join(data_dir, fn))
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k = 0
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for expected_mask in matlab_masks:
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actual_mask = func(k)
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if (expected_mask.shape == (1,)):
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expected_mask = expected_mask[:,np.newaxis]
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assert_equal(expected_mask, actual_mask)
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k = k + 1
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def test_selem_disk(self):
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self.strel_worker("disk-matlab-output.npy", selem.disk)
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def test_selem_diamond(self):
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self.strel_worker("diamond-matlab-output.npy", selem.diamond)
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