A fast image seeking algorithm based on imaging ladar

The quantum genetic algorithm is a fast algorithm for searching global optimal solution of a function, being proposed in recent years. The algorithm introduces the method of quantum, which makes the algorithm has high parallelism in solving problems. So the algorithm can be used to the quick searching. In this paper, the algorithm is introduced to target seeking of the ladar imagery. Through theoretical analysis and repeated experiments, the suitable self-adapting quantum revolving door and the effective preprocess of the ladar imagery have been found. This paper also makes use of the method of quantum transition and improves the accuracy of the algorithm by fusing the range image with the intensity image. Moreover, the preliminary quantum genetic algorithm for imaging ladar has been established. To some extent, with the use of this algorithm the best matching points can be found fast and accurately.