def test_connectivities(self):
input_image = np.array([[True, False], [False, True]])
desired_output_c4 = np.array([[1, 0], [0, 2]])
desired_output_c8 = np.array([[1, 0], [0, 1]])
output_c4 = connected_component_labelling(input_image, CONNECTIVITY_4)
output_c8 = connected_component_labelling(input_image, CONNECTIVITY_8)
self.assertTrue(
np.array_equal(output_c4, desired_output_c4), "\noutput: \n" +
str(output_c4) + "\ndesired: \n" + str(desired_output_c4))
self.assertTrue(np.array_equal(output_c8, desired_output_c8))
def test_connectivities(self): input_image = np.array([[True, False], [False, True]]) desired_output_c4 = np.array([[1,0], [0,2]]) desired_output_c8 = np.array([[1,0], [0,1]]) output_c4 = connected_component_labelling(input_image, CONNECTIVITY_4) output_c8 = connected_component_labelling(input_image, CONNECTIVITY_8) self.assertTrue(np.array_equal(output_c4, desired_output_c4), "\noutput: \n" + str(output_c4) + "\ndesired: \n" + str(desired_output_c4)) self.assertTrue(np.array_equal(output_c8, desired_output_c8))
def test_thirdpass_c8(self):
input_image = np.array([[True, False, True, False, True],
[False, True, False, False, False]])
desired_output = np.array([[1, 0, 1, 0, 2], [0, 1, 0, 0, 0]])
output = connected_component_labelling(input_image, CONNECTIVITY_8)
self.assertTrue(np.array_equal(output, desired_output))
def test_secondpass_c8(self): input_image = np.array([[True, False, True], [False, True, False]]) desired_output = np.array([[1,0,1], [0,1,0]]) output = connected_component_labelling(input_image, CONNECTIVITY_8) self.assertTrue(np.array_equal(output, desired_output))
def test_se_image_corner(self): input_image = np.array([[False, False,], [False, True]]) desired_output = np.array([[0,0], [0,1]]) output = connected_component_labelling(input_image, CONNECTIVITY_8) self.assertTrue(np.array_equal(output, desired_output))
def test_secondpass_c4(self):
input_image = np.array([[
False,
True,
], [True, True]])
desired_output = np.array([[0, 1], [1, 1]])
output = connected_component_labelling(input_image, CONNECTIVITY_4)
self.assertTrue(np.array_equal(output, desired_output))
def test_se_image_corner(self):
input_image = np.array([[
False,
False,
], [False, True]])
desired_output = np.array([[0, 0], [0, 1]])
output = connected_component_labelling(input_image, CONNECTIVITY_8)
self.assertTrue(np.array_equal(output, desired_output))
def test_empty_image(self):
input_image = np.zeros((3, 3), dtype=bool)
desired_output = np.zeros((3, 3), dtype=np.int16)
output = connected_component_labelling(input_image, CONNECTIVITY_8)
self.assertTrue(np.array_equal(output, desired_output))
def test_one_pixel_image(self):
input_image = np.ones((1, 1), dtype=bool)
desired_output = np.ones((1, 1), dtype=np.int16)
output = connected_component_labelling(input_image, CONNECTIVITY_8)
self.assertTrue(np.array_equal(output, desired_output))
def test_empty_image(self): input_image = np.zeros((3, 3), dtype=bool) desired_output = np.zeros((3, 3), dtype=np.int16) output = connected_component_labelling(input_image, CONNECTIVITY_8) self.assertTrue(np.array_equal(output, desired_output))
def test_one_pixel_image(self): input_image = np.ones((1,1), dtype=bool) desired_output = np.ones((1, 1), dtype=np.int16) output = connected_component_labelling(input_image, CONNECTIVITY_8) self.assertTrue(np.array_equal(output, desired_output))
