def test_hd_and_contour_functions(A, B, voxelspace, connectivity):
r1 = stats.hausdorff_distance(A, B, voxelspace, connectivity)
r2 = stats.percentile_hausdorff_distance(A, B, 1, voxelspace, connectivity)
r3 = stats.modified_hausdorff_distance(A, B, voxelspace, connectivity)
r4 = stats.percentile_hausdorff_distance(A, B, 0.95, voxelspace,
connectivity)
r5 = stats.relative_absolute_volume_difference(A, B)
r6 = stats.relative_absolute_volume_difference(B, A)
r7 = stats.mean_contour_distance(A, B, voxelspace)
r8 = stats.mean_contour_distance(B, A, voxelspace)
r = stats.hausdorff_distance_measures(A,
B,
voxelspace,
connectivity,
percentile=0.95)
r9 = r.distance
r10 = r.percentile_distance
r11 = r.modified_distance
assert r1 == r9
assert r4 == r10
assert np.allclose(r3, r11)
assert r1 == r2
assert r7 == r8
assert r1 != r3
assert r1 != r4
assert r5 != r6
assert r1 != r5
assert r1 != r6
assert r1 != r7
def test_percentile_hd(A, B, voxelspace, connectivity, percentile):
dA = sitk_surface_distance(A, B, voxelspace, connectivity)
dB = sitk_surface_distance(B, A, voxelspace, connectivity)
dA.sort()
dB.sort()
phd = max(
dA[int((len(dA) - 1) * percentile)],
dB[int((len(dB) - 1) * percentile)],
)
phd2 = stats.percentile_hausdorff_distance(A, B, percentile, voxelspace,
connectivity)
phd3 = stats.percentile_hausdorff_distance(B, A, percentile, voxelspace,
connectivity)
assert np.isclose(phd, phd2)
assert np.isclose(phd, phd3)
assert phd2 == phd3
def test_percentile_hd(a, b, voxelspace, connectivity, percentile):
d_a = sitk_surface_distance(a, b, voxelspace, connectivity)
d_b = sitk_surface_distance(b, a, voxelspace, connectivity)
d_a.sort()
d_b.sort()
phd = max(
d_a[int((len(d_a) - 1) * percentile)],
d_b[int((len(d_b) - 1) * percentile)],
)
phd2 = stats.percentile_hausdorff_distance(a, b, percentile, voxelspace,
connectivity)
phd3 = stats.percentile_hausdorff_distance(b, a, percentile, voxelspace,
connectivity)
assert np.isclose(phd, phd2)
assert np.isclose(phd, phd3)
assert phd2 == phd3