GCoptimization::EnergyType GCoptimization::oneExpansionIteration()
{
LabelID next;
if (m_random_label_order) scramble_label_table();
for (next = 0; next < m_num_labels; next++ )
{
alpha_expansion(m_labelTable[next]);
}
return(compute_energy());
}
GCoptimization::EnergyType GCoptimization::oneSwapIteration()
{
LabelID next,next1;
if (m_random_label_order) scramble_label_table();
for (next = 0; next < m_num_labels; next++ )
for (next1 = m_num_labels - 1; next1 >= 0; next1-- )
if ( m_labelTable[next] < m_labelTable[next1] )
alpha_beta_swap(m_labelTable[next],m_labelTable[next1]);
return(compute_energy());
}
GCoptimization::EnergyType Swap::oneSwapIteration()
{
int next,next1;
if (m_random_label_order) scramble_label_table();
for (next = 0; next < m_nLabels; next++ )
for (next1 = m_nLabels - 1; next1 >= 0; next1-- )
if ( m_labelTable[next] < m_labelTable[next1] )
{
perform_alpha_beta_swap(m_labelTable[next],m_labelTable[next1]);
}
return(dataEnergy()+smoothnessEnergy());
}
GCoptimization::EnergyType Expansion::oneExpansionIteration()
{
int next;
terminateOnError( m_dataType == NONE,"You have to set up the data cost before running optimization");
terminateOnError( m_smoothType == NONE,"You have to set up the smoothness cost before running optimization");
if (m_random_label_order) scramble_label_table();
for (next = 0; next < m_nLabels; next++ )
perform_alpha_expansion(m_labelTable[next]);
return(dataEnergy()+smoothnessEnergy());
}
