def METHOD_NAME(self):
    image = img_as_float(data.camera()[::100, ::100])
    # Correct output produced manually with quantiles
    # of 0.8 and 0.6 for high and low respectively
    correct_output = np.array(
        [[False, False, False, False, False, False],
         [False,  True,  True,  True, False, False],
         [False, False, False,  True, False, False],
         [False, False, False,  True, False, False],
         [False, False,  True,  True, False, False],
         [False, False, False, False, False, False]])
    result = feature.canny(image, low_threshold=0.6, high_threshold=0.8,
                           use_quantiles=True)
    assert_equal(result, correct_output)