Pruning of training sets used for synthetic discriminant function (SDF) filter design by relaxing the correlation plane constraints
B. V. K. Vijaya Kumar, Srinivas Bollapragada · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
Conventional synthetic discriminant function (SDF) filter designs use all available training images by requiring that the designed SDF filter yield prespecified values at the origin of the correlation plane when various training images are used in the input. In this paper, we show that we can reduce the number of training images being used and improve the filter performance by relaxing the correlation plane constraints when threshold detection is employed in the output correlation plane.