Python IconicRegistration.set_source_fov Examples

Example #1

File: test_iconic_registration.py Project: Garyfallidis/nipy

def _test_similarity_measure(simi, val):
    I = Image(make_data_int16(), dummy_affine)
    J = Image(I.data.copy(), dummy_affine)
    regie = IconicRegistration(I, J)
    regie.set_source_fov(spacing=[2,1,3])
    regie.similarity = simi
    assert_almost_equal(regie.eval(np.eye(4)), val)

Example #2

File: mclaplace.py Project: alexis-roche/scripts

def make_matcher(): 
    I = Image(load(example_data.get_filename('neurospin',
                                             'sulcal2000',
                                             'nobias_ammon.nii.gz')))
    J = Image(load(example_data.get_filename('neurospin',
                                             'sulcal2000',
                                             'nobias_anubis.nii.gz')))


    # Create a registration instance
    R = IconicRegistration(I, J)
    R.set_source_fov(fixed_npoints=64**3)
    R.similarity = 'llr_cc'
    return R

Example #3

File: test_registration.py Project: alexis-roche/scripts

    array = im.data
    if threshold==None: 
        pylab.imshow(array[:,slice,:])
    else:
        pylab.imshow(array[:,slice,:]>threshold)



"""
Main 
"""

# Load images 
I = load_image(example_data.get_filename('neurospin',
                                         'sulcal2000',
                                         'nobias_ammon.nii.gz'))
J = load_image(example_data.get_filename('neurospin',
                                         'sulcal2000',
                                         'nobias_anubis.nii.gz'))


# Create a registration instance
R = IconicRegistration(I, J)
R.set_source_fov(fixed_npoints=64**3)
R.similarity = 'llr_mi'
T = np.eye(4)
#T[0:3,3] = [4,5,6]

print R.eval(T)