def test_uint16():
im16, eroded16, dilated16, opened16, closed16 = (
map(img_as_uint, [im, eroded, dilated, opened, closed]))
np.testing.assert_allclose(grey.erosion(im16), eroded16)
np.testing.assert_allclose(grey.dilation(im16), dilated16)
np.testing.assert_allclose(grey.opening(im16), opened16)
np.testing.assert_allclose(grey.closing(im16), closed16)
def test_uint16():
im16, eroded16, dilated16, opened16, closed16 = (
map(img_as_uint, [im, eroded, dilated, opened, closed]))
np.testing.assert_allclose(grey.erosion(im16), eroded16)
np.testing.assert_allclose(grey.dilation(im16), dilated16)
np.testing.assert_allclose(grey.opening(im16), opened16)
np.testing.assert_allclose(grey.closing(im16), closed16)
def _test_image(self, image):
with expected_warnings(['precision loss']):
result_opening = grey.opening(image, self.disk)
testing.assert_equal(result_opening, self.expected_opening)
with expected_warnings(['precision loss']):
result_closing = grey.closing(image, self.disk)
testing.assert_equal(result_closing, self.expected_closing)
def test_uint16():
with expected_warnings(['Possible precision loss']):
im16, eroded16, dilated16, opened16, closed16 = (map(
img_as_uint, [im, eroded, dilated, opened, closed]))
np.testing.assert_allclose(grey.erosion(im16), eroded16)
np.testing.assert_allclose(grey.dilation(im16), dilated16)
np.testing.assert_allclose(grey.opening(im16), opened16)
np.testing.assert_allclose(grey.closing(im16), closed16)
def test_uint16():
with expected_warnings(['Possible precision loss']):
im16, eroded16, dilated16, opened16, closed16 = (
map(img_as_uint, [im, eroded, dilated, opened, closed]))
np.testing.assert_allclose(grey.erosion(im16), eroded16)
np.testing.assert_allclose(grey.dilation(im16), dilated16)
np.testing.assert_allclose(grey.opening(im16), opened16)
np.testing.assert_allclose(grey.closing(im16), closed16)
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 = grey.opening(image)
closed = grey.closing(image)
selem = ndi.generate_binary_structure(2, 1)
ndimage_opened = ndi.grey_opening(image, footprint=selem)
ndimage_closed = ndi.grey_closing(image, footprint=selem)
assert_array_equal(opened, ndimage_opened)
assert_array_equal(closed, ndimage_closed)
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 = grey.opening(image)
closed = grey.closing(image)
selem = ndi.generate_binary_structure(2, 1)
ndimage_opened = ndi.grey_opening(image, footprint=selem)
ndimage_closed = ndi.grey_closing(image, footprint=selem)
testing.assert_array_equal(opened, ndimage_opened)
testing.assert_array_equal(closed, ndimage_closed)
def test_binary_closing():
strel = selem.square(3)
binary_res = binary.binary_closing(bw_img, strel)
grey_res = img_as_bool(grey.closing(bw_img, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_float():
np.testing.assert_allclose(grey.erosion(im), eroded)
np.testing.assert_allclose(grey.dilation(im), dilated)
np.testing.assert_allclose(grey.opening(im), opened)
np.testing.assert_allclose(grey.closing(im), closed)
def test_close_black_pixel(self):
for s in self.selems:
assert np.all(grey.closing(self.black_pixel, s) == 255)
def test_binary_closing():
strel = selem.square(3)
binary_res = binary.binary_closing(bw_img, strel)
with expected_warnings(['precision loss']):
grey_res = img_as_bool(grey.closing(bw_img, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_close_white_pixel(self):
for s in self.selems:
grey_close = grey.closing(self.white_pixel, s)
assert np.all(grey_close == self.white_pixel)
def test_float():
np.testing.assert_allclose(grey.erosion(im), eroded)
np.testing.assert_allclose(grey.dilation(im), dilated)
np.testing.assert_allclose(grey.opening(im), opened)
np.testing.assert_allclose(grey.closing(im), closed)
def _test_image(self, image):
result_opening = grey.opening(image, self.disk)
testing.assert_equal(result_opening, self.expected_opening)
result_closing = grey.closing(image, self.disk)
testing.assert_equal(result_closing, self.expected_closing)
def test_close_white_pixel(self):
for s in self.selems:
grey_close = grey.closing(self.white_pixel, s)
assert np.all(grey_close == self.white_pixel)
def test_binary_closing():
strel = selem.square(3)
binary_res = binary.binary_closing(bw_lena, strel)
grey_res = img_as_bool(grey.closing(bw_lena, strel))
testing.assert_array_equal(binary_res, grey_res)
def _test_image(self, image):
result_opening = grey.opening(image, self.disk)
testing.assert_equal(result_opening, self.expected_opening)
result_closing = grey.closing(image, self.disk)
testing.assert_equal(result_closing, self.expected_closing)
def test_close_black_pixel(self):
for s in self.selems:
assert np.all(grey.closing(self.black_pixel, s) == 255)
def test_binary_closing():
strel = selem.square(3)
binary_res = binary.binary_closing(bw_lena, strel)
grey_res = grey.closing(bw_lena, strel)
testing.assert_array_equal(binary_res, grey_res)
