def test_equalize_masked():
img = util.img_as_float(test_img)
mask = cp.zeros(test_img.shape)
mask[50:150, 50:250] = 1
img_mask_eq = exposure.equalize_hist(img, mask=mask)
img_eq = exposure.equalize_hist(img)
cdf, bin_edges = exposure.cumulative_distribution(img_mask_eq)
check_cdf_slope(cdf)
assert not (img_eq == img_mask_eq).all()
def test_equalize_float():
img = util.img_as_float(test_img)
img_eq = exposure.equalize_hist(img)
cdf, bin_edges = exposure.cumulative_distribution(img_eq)
check_cdf_slope(cdf)
def test_equalize_uint8_approx():
"""Check integer bins used for uint8 images."""
img_eq0 = exposure.equalize_hist(test_img_int)
img_eq1 = exposure.equalize_hist(test_img_int, nbins=3)
cp.testing.assert_allclose(img_eq0, img_eq1)