import numpy as np import pytest from numpy.testing import assert_array_equal, assert_equal from scipy import ndimage as ndi from skimage import data, color, morphology from skimage._shared._warnings import expected_warnings from skimage.util import img_as_bool from skimage.morphology import binary, gray img = color.rgb2gray(data.astronaut()) bw_img = img > 100 / 255. def test_non_square_image(): footprint = morphology.square(3) binary_res = binary.binary_erosion(bw_img[:100, :200], footprint) gray_res = img_as_bool(gray.erosion(bw_img[:100, :200], footprint)) assert_array_equal(binary_res, gray_res) @pytest.mark.parametrize( 'function', ['binary_erosion', 'binary_dilation', 'binary_closing', 'binary_opening'] ) def test_selem_kwarg_deprecation(function): with expected_warnings(["`selem` is a deprecated argument name"]): getattr(binary, function)(bw_img, selem=morphology.square(3)) def test_binary_erosion(): footprint = morphology.square(3) binary_res = binary.binary_erosion(bw_img, footprint) gray_res = img_as_bool(gray.erosion(bw_img, footprint)) assert_array_equal(binary_res, gray_res) def test_binary_dilation(): footprint = morphology.square(3) binary_res = binary.binary_dilation(bw_img, footprint) gray_res = img_as_bool(gray.dilation(bw_img, footprint)) assert_array_equal(binary_res, gray_res) def test_binary_closing(): footprint = morphology.square(3) binary_res = binary.binary_closing(bw_img, footprint) gray_res = img_as_bool(gray.closing(bw_img, footprint)) assert_array_equal(binary_res, gray_res) def test_binary_opening(): footprint = morphology.square(3) binary_res = binary.binary_opening(bw_img, footprint) gray_res = img_as_bool(gray.opening(bw_img, footprint)) assert_array_equal(binary_res, gray_res) def test_footprint_overflow(): footprint = np.ones((17, 17), dtype=np.uint8) img = np.zeros((20, 20), dtype=bool) img[2:19, 2:19] = True binary_res = binary.binary_erosion(img, footprint) gray_res = img_as_bool(gray.erosion(img, footprint)) assert_array_equal(binary_res, gray_res) def test_out_argument(): for func in (binary.binary_erosion, binary.binary_dilation): footprint = np.ones((3, 3), dtype=np.uint8) img = np.ones((10, 10)) out = np.zeros_like(img) out_saved = out.copy() func(img, footprint, out=out) assert np.any(out != out_saved) assert_array_equal(out, func(img, footprint)) binary_functions = [binary.binary_erosion, binary.binary_dilation, binary.binary_opening, binary.binary_closing] @pytest.mark.parametrize("function", binary_functions) def test_default_footprint(function): footprint = morphology.diamond(radius=1) image = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], np.uint8) im_expected = function(image, footprint) im_test = function(image) assert_array_equal(im_expected, im_test) def test_3d_fallback_default_footprint(): # 3x3x3 cube inside a 7x7x7 image: image = np.zeros((7, 7, 7), bool) image[2:-2, 2:-2, 2:-2] = 1 opened = binary.binary_opening(image) # expect a "hyper-cross" centered in the 5x5x5: image_expected = np.zeros((7, 7, 7), dtype=bool) image_expected[2:5, 2:5, 2:5] = ndi.generate_binary_structure(3, 1) assert_array_equal(opened, image_expected) binary_3d_fallback_functions = [binary.binary_opening, binary.binary_closing] @pytest.mark.parametrize("function", binary_3d_fallback_functions) def test_3d_fallback_cube_footprint(function): # 3x3x3 cube inside a 7x7x7 image: image = np.zeros((7, 7, 7), bool) image[2:-2, 2:-2, 2:-2] = 1 cube = np.ones((3, 3, 3), dtype=np.uint8) new_image = function(image, cube) assert_array_equal(new_image, image) def test_2d_ndimage_equivalence(): image = np.zeros((9, 9), np.uint16) image[2:-2, 2:-2] = 2**14 image[3:-3, 3:-3] = 2**15 image[4, 4] = 2**16-1 bin_opened = binary.binary_opening(image) bin_closed = binary.binary_closing(image) footprint = ndi.generate_binary_structure(2, 1) ndimage_opened = ndi.binary_opening(image, structure=footprint) ndimage_closed = ndi.binary_closing(image, structure=footprint) assert_array_equal(bin_opened, ndimage_opened) assert_array_equal(bin_closed, ndimage_closed) def test_binary_output_2d(): image = np.zeros((9, 9), np.uint16) image[2:-2, 2:-2] = 2**14 image[3:-3, 3:-3] = 2**15 image[4, 4] = 2**16-1 bin_opened = binary.binary_opening(image) bin_closed = binary.binary_closing(image) int_opened = np.empty_like(image, dtype=np.uint8) int_closed = np.empty_like(image, dtype=np.uint8) binary.binary_opening(image, out=int_opened) binary.binary_closing(image, out=int_closed) assert_equal(bin_opened.dtype, bool) assert_equal(bin_closed.dtype, bool) assert_equal(int_opened.dtype, np.uint8) assert_equal(int_closed.dtype, np.uint8) def test_binary_output_3d(): image = np.zeros((9, 9, 9), np.uint16) image[2:-2, 2:-2, 2:-2] = 2**14 image[3:-3, 3:-3, 3:-3] = 2**15 image[4, 4, 4] = 2**16-1 bin_opened = binary.binary_opening(image) bin_closed = binary.binary_closing(image) int_opened = np.empty_like(image, dtype=np.uint8) int_closed = np.empty_like(image, dtype=np.uint8) binary.binary_opening(image, out=int_opened) binary.binary_closing(image, out=int_closed) assert_equal(bin_opened.dtype, bool) assert_equal(bin_closed.dtype, bool) assert_equal(int_opened.dtype, np.uint8) assert_equal(int_closed.dtype, np.uint8)