title: Toward a fundamental image preprocessor.
abstract: A general transformation equation is derived and applied to dynamic and static image differences. It uses translation, rotation, scale, and velocity changes as fundamental object features for image segmentation. A linear minimization algorithm is derived based on a spatial smoothness constraint. The transformation and algorithm constitute an automatic target recognition preprocessor architecture.
authors.forename: J L
authors.initials: JL
authors.lastname: Johnson