The Hopfield neural network model for solving affine transformation parameters in the correlation method

Abstract

In this paper, we present the Hopfield neural network model to provide solution for affine transformation parameters in the correlation method. Affine transformation equation is derived to get the mean-square error. The model maps the mean-square error equation with the energy function. When the energy function reaches local minima, the mean-square error is minimized. Outputs of the model will be affine transformation parameters. These parameters are applied in the affine transformation equation to register the corresponding two images. ©2006 IEEE.