Abstract:

According to the difficulties of the recognition for the ground stationary target in imaging terminal guidance, a new localization and recognition approach based on the maximally stable external region (MSER) is proposed.MSER features which are scale and affine invariant are extracted respectively around the target in the reference image. A certain amount of MSER features are adaptively selected as context landmarks according to the weighting exponent.The matching feature pairs between the MSER features extracted from the realtime image and the context landmarks are obtained based on the normalized cross correlation criterion.The double matching correction strategy is used to reduce the probability of mismatching. The center points taken as the reference points are extracted from the matching feature pairs to solve the space mapping relation between the reference image and the real-time image. The position coordinate of the target in the realtime image is calculated according to a polynomial based on the least squares fitting. In view of the complex ground scene, the experiments demonstrate that the maximum relative error location probability of the method is less than 3 pixels. It can satisfy the imaging terminal guidance for automatic target recognition algorithm requirements of higher precision and rapid speed, as well as strong anti-jamming and stabilization.