mirror of
https://github.com/wassname/scikit-image.git
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Pieter Holtzhausen
21 lines
705 B
Python
21 lines
705 B
Python
import numpy as np
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from numpy.testing import *
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from scikits.image.transform import *
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def test_radon_iradon():
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size = 100
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image = np.tri(size) + np.tri(size)[::-1]
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for filter_type in ["ramp", "shepp-logan", "cosine", "hamming", "hann"]:
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reconstructed = iradon(radon(image), filter=filter_type)
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delta = np.sum(abs(image/np.max(image) - reconstructed/np.max(reconstructed)))/(size*size)
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assert delta < 0.1
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reconstructed = iradon(radon(image), filter="ramp", interpolation="nearest")
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delta = np.sum(abs(image/np.max(image) - reconstructed/np.max(reconstructed)))/(size*size)
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assert delta < 0.1
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if __name__ == "__main__":
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run_module_suite()
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