Social behavior in bacterial foraging optimization algorithm for image registration

In this paper a strategy to enhance performances in Bacterial Foraging Optimization Algorithm (BFOA) based Image Registration (IR) is proposed. The goal of the IR optimization problem is to determine a geometric transform which maximizes the similarity to a model image when is applied to a source image. In each step of standard BFOA, the bacteria move in random directions. Using the social behavior of bacteria colony, the proposed method directs the movement towards bacteria with lower values of cost function. This method allows reducing the number of iterations required to obtain the optimal geometric transform and offers better approximations.