def test_3d_fallback_black_tophat():
image = np.ones((7, 7, 7), dtype=bool)
image[2, 2:4, 2:4] = 0
image[3, 2:5, 2:5] = 0
image[4, 3:5, 3:5] = 0
new_image = grey.black_tophat(image)
footprint = ndimage.generate_binary_structure(3,1)
image_expected = ndimage.black_tophat(image,footprint=footprint)
testing.assert_array_equal(new_image, image_expected)
def test_3d_fallback_black_tophat():
image = np.ones((7, 7, 7), dtype=bool)
image[2, 2:4, 2:4] = 0
image[3, 2:5, 2:5] = 0
image[4, 3:5, 3:5] = 0
with expected_warnings(['operator.*deprecated|\A\Z']):
new_image = grey.black_tophat(image)
footprint = ndi.generate_binary_structure(3,1)
with expected_warnings(['operator.*deprecated|\A\Z']):
image_expected = ndi.black_tophat(image,footprint=footprint)
testing.assert_array_equal(new_image, image_expected)
def test_3d_fallback_black_tophat():
image = np.ones((7, 7, 7), dtype=bool)
image[2, 2:4, 2:4] = 0
image[3, 2:5, 2:5] = 0
image[4, 3:5, 3:5] = 0
with expected_warnings(['operator.*deprecated|\A\Z']):
new_image = grey.black_tophat(image)
footprint = ndi.generate_binary_structure(3, 1)
with expected_warnings(['operator.*deprecated|\A\Z']):
image_expected = ndi.black_tophat(image, footprint=footprint)
assert_array_equal(new_image, image_expected)
def test_black_tophat_white_pixel(self):
for s in self.selems:
tophat = grey.black_tophat(self.white_pixel, s)
assert np.all(tophat == 0)
def test_black_tophat_black_pixel(self):
for s in self.selems:
tophat = grey.black_tophat(self.black_pixel, s)
assert np.all(tophat == (255 - self.black_pixel))
def test_black_tophat_white_pixel(self):
for s in self.selems:
tophat = grey.black_tophat(self.white_pixel, s)
assert np.all(tophat == 0)
def test_black_tophat_black_pixel(self):
for s in self.selems:
tophat = grey.black_tophat(self.black_pixel, s)
assert np.all(tophat == (255 - self.black_pixel))
