code: def test_keypoints_censure_moon_image_dob():
      """Verify the actual Censure keypoints and their corresponding scale with
      the expected values for DoB filter."""
      detector = CENSURE()
      detector.detect(img)
      expected_keypoints = np.array(
          [
              [21, 497],
              [36, 46],
              [119, 350],
              [185, 177],
              [287, 250],
              [357, 239],
              [463, 116],
              [464, 132],
              [467, 260],
          ]
      )
      expected_scales = np.array([3, 4, 4, 2, 2, 3, 2, 2, 2])
  
      assert_array_equal(expected_keypoints, detector.keypoints)
      assert_array_equal(expected_scales, detector.scales)
  
file_path: scikit-image/skimage/feature/tests/test_censure.py
imports: import numpy
  from skimage._shared.testing import assert_array_equal
  from skimage.data import moon
  from skimage.feature import CENSURE
  from skimage._shared.testing import run_in_parallel
  from skimage._shared import testing
  from skimage.transform import rescale
label_desc: Use image node_id 5 for calling a global function with example usage: test_keypoints_censure_moon_image_dob() without return types