def test_illumination_mean(image_files):
illum = pre.find_background_illumination(image_files, radius=1,
quantile=0.5)
illum_true = np.array([[161, 174, 188, 81, 94],
[174, 174, 81, 161, 94],
[174, 67, 161, 121, 161],
[134, 107, 107, 161, 215],
[134, 134, 134, 174, 215]], np.uint8)
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
def test_illumination_median(image_files):
illum = pre.find_background_illumination(image_files,
radius=1,
quantile=0.5,
stretch_quantile=1e-7,
method='median')
illum_true = np.array([[4., 5., 4., 1., 1.], [4., 6., 2., 4., 2.],
[8., 3., 4., 2., 7.], [3., 3., 3., 7., 6.],
[3., 3., 3., 7., 7.]]) / 10
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
def test_illumination_median(image_files):
illum = pre.find_background_illumination(image_files, radius=1,
quantile=0.5,
stretch_quantile=1e-7,
method='median')
illum_true = np.array([[ 4., 5., 4., 1., 1.],
[ 4., 6., 2., 4., 2.],
[ 8., 3., 4., 2., 7.],
[ 3., 3., 3., 7., 6.],
[ 3., 3., 3., 7., 7.]]) / 10
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
def test_illumination_mean(image_files):
illum = pre.find_background_illumination(image_files, radius=1,
quantile=0.5,
stretch_quantile=1e-7,
method='mean')
illum_true = np.array([[5.33, 5.33, 4.67, 1.67, 1.67],
[3.67, 6.67, 2.67, 4.33, 3.00],
[6.67, 3.00, 4.33, 3.00, 5.33],
[2.67, 2.67, 2.67, 6.67, 6.00],
[3.33, 2.00, 2.33, 6.33, 7.33]]) / 10
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
def test_illumination_mean(image_files):
illum = pre.find_background_illumination(image_files,
radius=1,
quantile=0.5,
stretch_quantile=1e-7,
method='mean')
illum_true = np.array(
[[5.33, 5.33, 4.67, 1.67, 1.67], [3.67, 6.67, 2.67, 4.33, 3.00],
[6.67, 3.00, 4.33, 3.00, 5.33], [2.67, 2.67, 2.67, 6.67, 6.00],
[3.33, 2.00, 2.33, 6.33, 7.33]]) / 10
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
def test_illumination_median(image_files):
illum = pre.find_background_illumination(
image_files, radius=1, quantile=0.5, stretch_quantile=1e-7, method="median"
)
illum_true = (
np.array(
[
[4.0, 5.0, 4.0, 1.0, 1.0],
[4.0, 6.0, 2.0, 4.0, 2.0],
[8.0, 3.0, 4.0, 2.0, 7.0],
[3.0, 3.0, 3.0, 7.0, 6.0],
[3.0, 3.0, 3.0, 7.0, 7.0],
]
)
/ 10
)
np.testing.assert_array_almost_equal(illum, illum_true, decimal=1)
