Chaotic mutated bat algorithm optimized edge potential function for target matching

In this paper, we present a novel edge based matching approach to target recognition. To recognize the marker on a rotorcraft, a chaotic mutated bat algorithm optimized edge potential function approach is proposed to accomplish the matching between the sketch image and the scene in real applications. A novel type of attractive contour pattern is acquired using the edge potential function. These edge structures can be conveniently exploited for target matching. Bat algorithm is adopted for the optimization problem of searching the optimal match in the scene, and a chaotic mutated bat algorithm is proposed using the chaotic theory and a mutated operator. Thus, the target matching task is converted to optimizing the average of potential value by the processing of translating, reorienting and scaling the sketch image. Series of experiments are conducted to show that our method is superior to other methods. Our proposed method can achieve the higher fitness value over the standard optimization algorithms.