中文摘要：

针对人工蜂群算法存在的收敛速度较慢，易陷入局部最优解的问题，提出一种改进的人工蜂群优化算法，并应用于数字图像相关的整像素位移搜索中。该算法借助相关度值的变化来动态调整跟随蜂的搜索步长，平衡其全局和局部的搜索能力；侦察蜂利用遗传算法的交叉运算产生新解，改善全局搜索能力。实验结果表明，改进的算法能有效地提高收敛速度，改善整像素位移搜索的性能。

英文摘要：

Aiming at the problems of slow convergence speed and easy to fall into local optimal solution, which exist in artificial bee colony algorithms, an improved artificial bee colony optimization algorithm is proposed for the pixel displacement search in digital image correlation. In the algorithm, the search step of the following bee is adjusted dynamically according to the changes of the correlation to balance the capability of global search and local search, and the scout bee employs crossover operation of genetic algorithm to generate new solution for improving the global search capacity. The experimental results show that the improved algorithm can enhance the convergence capability effectively and improve the performance of integer pixel displacement search.