Files
scikit-image/skimage/feature/tests/_test_censure.py
T
2013-10-02 16:48:27 +02:00

90 lines
3.4 KiB
Python

import numpy as np
from numpy.testing import assert_array_equal, assert_raises
from skimage.data import moon
from skimage.feature import keypoints_censure
def test_keypoints_censure_color_image_unsupported_error():
"""Censure keypoints can be extracted from gray-scale images only."""
img = np.zeros((20, 20, 3))
assert_raises(ValueError, keypoints_censure, img)
def test_keypoints_censure_mode_validity_error():
"""Mode argument in keypoints_censure can be either DoB, Octagon or
STAR."""
img = np.zeros((20, 20))
assert_raises(ValueError, keypoints_censure, img, mode='dummy')
def test_keypoints_censure_scale_range_error():
"""Difference between the the max_scale and min_scale parameters in
keypoints_censure should be greater than or equal to two."""
img = np.zeros((20, 20))
assert_raises(ValueError, keypoints_censure, img, min_scale=1, max_scale=2)
def test_keypoints_censure_moon_image_dob():
"""Verify the actual Censure keypoints and their corresponding scale with
the expected values for DoB filter."""
img = moon()
actual_kp_dob, actual_scale = keypoints_censure(img, 1, 7, 'DoB', 0.15)
expected_kp_dob = np.array([[ 21, 497],
[ 36, 46],
[119, 350],
[185, 177],
[287, 250],
[357, 239],
[463, 116],
[464, 132],
[467, 260]])
expected_scale = np.array([3, 4, 4, 2, 2, 3, 2, 2, 2])
assert_array_equal(expected_kp_dob, actual_kp_dob)
assert_array_equal(expected_scale, actual_scale)
def test_keypoints_censure_moon_image_octagon():
"""Verify the actual Censure keypoints and their corresponding scale with
the expected values for Octagon filter."""
img = moon()
actual_kp_octagon, actual_scale = keypoints_censure(img, 1, 7, 'Octagon',
0.15)
expected_kp_octagon = np.array([[ 21, 496],
[ 35, 46],
[287, 250],
[356, 239],
[463, 116]])
expected_scale = np.array([3, 4, 2, 2, 2])
assert_array_equal(expected_kp_octagon, actual_kp_octagon)
assert_array_equal(expected_scale, actual_scale)
def test_keypoints_censure_moon_image_star():
"""Verify the actual Censure keypoints and their corresponding scale with
the expected values for STAR filter."""
img = moon()
actual_kp_star, actual_scale = keypoints_censure(img, 1, 7, 'STAR', 0.15)
expected_kp_star = np.array([[ 21, 497],
[ 36, 46],
[117, 356],
[185, 177],
[260, 227],
[287, 250],
[357, 239],
[451, 281],
[463, 116],
[467, 260]])
expected_scale = np.array([3, 3, 6, 2, 3, 2, 3, 5, 2, 2])
assert_array_equal(expected_kp_star, actual_kp_star)
assert_array_equal(expected_scale, actual_scale)
if __name__ == '__main__':
from numpy import testing
testing.run_module_suite()