Modeling of elastic inter-node bounds in Cellular Neural Network-based implementation of the deformable grid paradigm

The following paper extends a method of deformable grid paradigm implementation by providing modeling of elastic node interactions. The proposed method is based on parallel estimation of between-node distances, which is done by execution of appropriately arranged constrained diffusion procedure. Since, due to the introduced node interaction mechanism, nodes can get arbitrarily displaced, an appropriate method of modeling of the other component of the deformable grid paradigm - grid-image image interaction s also provided