def test_uint16():
im16, eroded16, dilated16, opened16, closed16 = (map(
img_as_uint, [im, eroded, dilated, opened, closed]))
assert_allclose(gray.erosion(im16), eroded16)
assert_allclose(gray.dilation(im16), dilated16)
assert_allclose(gray.opening(im16), opened16)
assert_allclose(gray.closing(im16), closed16)
def test_3d_fallback_default_footprint():
# 3x3x3 cube inside a 7x7x7 image:
image = np.zeros((7, 7, 7), bool)
image[2:-2, 2:-2, 2:-2] = 1
opened = gray.opening(image)
# expect a "hyper-cross" centered in the 5x5x5:
image_expected = np.zeros((7, 7, 7), dtype=bool)
image_expected[2:5, 2:5, 2:5] = ndi.generate_binary_structure(3, 1)
assert_array_equal(opened, image_expected)
def test_2d_ndimage_equivalence():
image = np.zeros((9, 9), np.uint8)
image[2:-2, 2:-2] = 128
image[3:-3, 3:-3] = 196
image[4, 4] = 255
opened = gray.opening(image)
closed = gray.closing(image)
footprint = ndi.generate_binary_structure(2, 1)
ndimage_opened = ndi.grey_opening(image, footprint=footprint)
ndimage_closed = ndi.grey_closing(image, footprint=footprint)
assert_array_equal(opened, ndimage_opened)
assert_array_equal(closed, ndimage_closed)
def test_open_white_pixel(self):
for s in self.footprints:
assert np.all(gray.opening(self.white_pixel, s) == 0)
def test_open_black_pixel(self):
for s in self.footprints:
gray_open = gray.opening(self.black_pixel, s)
assert np.all(gray_open == self.black_pixel)
def test_float():
assert_allclose(gray.erosion(im), eroded)
assert_allclose(gray.dilation(im), dilated)
assert_allclose(gray.opening(im), opened)
assert_allclose(gray.closing(im), closed)
def test_binary_opening():
strel = selem.square(3)
binary_res = binary.binary_opening(bw_img, strel)
gray_res = img_as_bool(gray.opening(bw_img, strel))
testing.assert_array_equal(binary_res, gray_res)
def test_binary_opening():
footprint = morphology.square(3)
binary_res = binary.binary_opening(bw_img, footprint)
gray_res = img_as_bool(gray.opening(bw_img, footprint))
assert_array_equal(binary_res, gray_res)
