Python wavelet_center Examples

Example #1

File: test_convolve.py Project: BLKStone/mahotas

def test_center_border():
    from mahotas import wavelet_center
    np.random.seed(12)
    for border in (16, 24):
        f = np.random.rand(51,100)
        fc = wavelet_center(f, border=border)
        assert np.all(fc[:border] == 0)
        assert np.all(fc[-border:] == 0)
        assert np.all(fc.T[:border] == 0)
        assert np.all(fc.T[-border:] == 0)

Example #2

File: test_convolve.py Project: jayrambhia/mahotas

def test_center_border():
    from mahotas import wavelet_center
    np.random.seed(12)
    for border in (16, 24):
        f = np.random.rand(51, 100)
        fc = wavelet_center(f, border=border)
        assert np.all(fc[:border] == 0)
        assert np.all(fc[-border:] == 0)
        assert np.all(fc.T[:border] == 0)
        assert np.all(fc.T[-border:] == 0)

Example #3

File: test_convolve.py Project: BLKStone/mahotas

def test_center_decenter():
    from mahotas import wavelet_decenter
    from mahotas import wavelet_center
    np.random.seed(12)
    for border in (0, 1, 17):
        f = np.random.rand(51,100)
        fc = wavelet_center(f, border=border)
        assert all(map(_is_power2, fc.shape))
        
        fd = wavelet_decenter(fc, f.shape, border=border)

        assert fd.shape == f.shape
        assert np.all(fd == f)

Example #4

File: test_convolve.py Project: jayrambhia/mahotas

def test_center_decenter():
    from mahotas import wavelet_decenter
    from mahotas import wavelet_center
    np.random.seed(12)
    for border in (0, 1, 17):
        f = np.random.rand(51, 100)
        fc = wavelet_center(f, border=border)
        assert all(map(_is_power2, fc.shape))

        fd = wavelet_decenter(fc, f.shape, border=border)

        assert fd.shape == f.shape
        assert np.all(fd == f)

Example #5

File: test_convolve.py Project: stefanv/mahotas

def test_center_decenter():
    from mahotas import wavelet_decenter
    from mahotas import wavelet_center
    np.random.seed(12)
    for border in (0, 1, 17):
        f = np.random.rand(51,100)
        fc = wavelet_center(f, border=border)
        log2fc_shape = np.log2(fc.shape)
        assert np.all(log2fc_shape == np.floor(log2fc_shape))
        
        fd = wavelet_decenter(fc, f.shape, border=border)

        assert fd.shape == f.shape
        assert np.all(fd == f)

Example #6

File: test_convolve.py Project: BLKStone/mahotas

def test_center_wavelet_iwavelet_decenter():
    from mahotas import wavelet_center, wavelet_decenter
    import mahotas
    import numpy as np

    f = luispedro_jpg(1)
    f = f[:100,:250]
    fo = f.copy()

    for wav in ('D2', 'D4', 'D6', 'D8', 'D10', 'D12', 'D16'):
        fc = mahotas.wavelet_center(fo, border=24)
        t = mahotas.daubechies(fc, wav)
        r = mahotas.idaubechies(t, wav)
        rd = mahotas.wavelet_decenter(r, fo.shape, border=24)
        assert np.allclose(fo, rd)

Example #7

File: test_convolve.py Project: jayrambhia/mahotas

def test_center_wavelet_iwavelet_decenter():
    from mahotas import wavelet_center, wavelet_decenter
    import mahotas
    import numpy as np

    f = luispedro_jpg()
    f = f[:100, :250]
    fo = f.copy()

    for wav in ('D2', 'D4', 'D6', 'D8', 'D10', 'D12', 'D16'):
        fc = mahotas.wavelet_center(fo, border=24)
        t = mahotas.daubechies(fc, wav)
        r = mahotas.idaubechies(t, wav)
        rd = mahotas.wavelet_decenter(r, fo.shape, border=24)
        assert np.allclose(fo, rd)