Area correlation in transform domain

It has been shown that the optimal test statistic in the Neyman-Pearson sense for area correlation is the modified correlation coefficient. In order to reduce the heavy computational burden of such an optimal scheme, a sub-optimal scheme based on the utilization of linear transformations has been investigated. Feature selection based on the entropy concept, and through K-L expansion has also been investigated in area correlation applications through a simulation study.