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scikit-image/skimage/morphology/tests/test_binary.py
T
2014-07-11 13:50:55 -07:00

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Python

import numpy as np
from numpy import testing
from skimage import data, color
from skimage.util import img_as_bool
from skimage.morphology import binary, grey, selem
lena = color.rgb2gray(data.lena())
bw_lena = lena > 100
def test_non_square_image():
strel = selem.square(3)
binary_res = binary.binary_erosion(bw_lena[:100, :200], strel)
grey_res = img_as_bool(grey.erosion(bw_lena[:100, :200], strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_erosion():
strel = selem.square(3)
binary_res = binary.binary_erosion(bw_lena, strel)
grey_res = img_as_bool(grey.erosion(bw_lena, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_dilation():
strel = selem.square(3)
binary_res = binary.binary_dilation(bw_lena, strel)
grey_res = img_as_bool(grey.dilation(bw_lena, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_closing():
strel = selem.square(3)
binary_res = binary.binary_closing(bw_lena, strel)
grey_res = img_as_bool(grey.closing(bw_lena, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_opening():
strel = selem.square(3)
binary_res = binary.binary_opening(bw_lena, strel)
grey_res = img_as_bool(grey.opening(bw_lena, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_selem_overflow():
strel = np.ones((17, 17), dtype=np.uint8)
img = np.zeros((20, 20))
img[2:19, 2:19] = 1
binary_res = binary.binary_erosion(img, strel)
grey_res = img_as_bool(grey.erosion(img, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_out_argument():
for func in (binary.binary_erosion, binary.binary_dilation):
strel = np.ones((3, 3), dtype=np.uint8)
img = np.ones((10, 10))
out = np.zeros_like(img)
out_saved = out.copy()
func(img, strel, out=out)
testing.assert_(np.any(out != out_saved))
testing.assert_array_equal(out, func(img, strel))
def test_default_selem():
functions = [binary.binary_erosion, binary.binary_dilation,
binary.binary_opening, binary.binary_closing]
strel = selem.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)
for function in functions:
im_expected = function(image, strel)
im_test = function(image)
yield testing.assert_array_equal, im_expected, im_test
if __name__ == '__main__':
testing.run_module_suite()