def test_morph3(self):
im = Image(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]))
out = np.array([[5, 6, 6], [8, 9, 9], [8, 9, 9]])
nt.assert_array_almost_equal(
im.morph(np.ones((3, 3)), oper='max', opt='none').image, out)
out = np.array([[1, 1, 2], [1, 1, 2], [4, 4, 5]])
nt.assert_array_almost_equal(
im.morph(np.ones((3, 3)), oper='min', opt='replicate').image, out)
# simple erosion
im = Image(np.array([[1, 1, 0], [1, 1, 0], [0, 0, 0]], dtype=np.uint8))
out = np.array([[1, 0, 0], [0, 0, 0], [0, 0, 0]], dtype=np.uint8)
nt.assert_array_almost_equal(
im.morph(se=np.ones((3, 3)), oper='min').image, out)
def test_morph1(self):
# test simple case
im = Image(np.array([[1, 2], [3, 4]]))
se = 1
nt.assert_array_almost_equal(im.morph(se, 'min').image, im.image)
nt.assert_array_almost_equal(im.morph(se, 'max').image, im.image)
nt.assert_array_almost_equal(
im.morph(se, oper='min', opt='replicate').image, im.image)
nt.assert_array_almost_equal(
im.morph(se, oper='min', opt='none').image, im.image)
# test different input formats
nt.assert_array_almost_equal(
im.int('uint8').morph(se, 'min').image, im.image)
nt.assert_array_almost_equal(
im.int('uint16').morph(se, 'min').image, im.image)
nt.assert_array_almost_equal(im.float().morph(se, 'min').image * 255,
im.image)
im = np.array([[1, 0, 1], [0, 1, 0], [1, 1, 0]])
im = Image(im.astype(bool))
nt.assert_array_almost_equal(im.morph(se, 'min').image, im.image)
