ResultAlign2D get_rotational_alignment(const cv::Mat &input,
cv::Mat &m_to_align,bool apply) {
IMP_LOG_TERSE(
"starting 2D rotational alignment" << std::endl);
IMP_USAGE_CHECK((input.rows==m_to_align.rows) &&
(input.cols==m_to_align.cols),
"em2d::align_rotational: Matrices have different size.");
cv::Mat polar1,polar2,corr;
// Build maps for resampling
PolarResamplingParameters polar_params(input.rows,input.cols);
polar_params.set_estimated_number_of_angles(std::min(input.rows,input.cols));
polar_params.create_maps_for_resampling();
do_resample_polar(input,polar1,polar_params); // subject image
do_resample_polar(m_to_align,polar2,polar_params); // projection image
ResultAlign2D RA= get_translational_alignment(polar1,polar2);
algebra::Vector2D shift=RA.first.get_translation();
// column shift[0] is the optimal angle to bring m_to_align to input
double angle =shift[0]*polar_params.get_angle_step();
RA.first.set_rotation(angle);
RA.first.set_translation(algebra::Vector2D(0.0,0.0));
// Apply the rotation if requested
if(apply) {
cv::Mat result;
get_transformed(m_to_align,result,RA.first);
result.copyTo(m_to_align);
}
IMP_LOG_VERBOSE("Rotational alingment: Transformation= "
<< RA.first << " cross_correlation = " << RA.second << std::endl);
return RA;
}
void ProjectionFinder::do_preprocess_subject(unsigned int i) {
IMP_LOG_TERSE("ProjectionFinder: Preprocessing subject " << i << std::endl);
if (params_.coarse_registration_method == ALIGN2D_PREPROCESSING) {
cv::Mat autoc, polar_autoc;
get_fft_using_optimal_size(subjects_[i]->get_data(), SUBJECTS_[i]);
get_autocorrelation2d(subjects_[i]->get_data(), autoc);
do_resample_polar(autoc, polar_autoc, polar_params_);
get_fft_using_optimal_size(polar_autoc, SUBJECTS_POLAR_AUTOC_[i]);
}
if (params_.coarse_registration_method == ALIGN2D_WITH_CENTERS) {
do_preprocess_for_fast_coarse_registration(
subjects_[i]->get_data(), subjects_cog_[i], SUBJECTS_POLAR_AUTOC_[i]);
}
}
