为获取超高分辨率图像, 设计了一种入端为线阵排列、出端为面阵排列的传像光纤束.利用该光纤束的成像系统在合成目标图像时, 需要建立光纤束出端、入端位置坐标表.介绍了一种基于卡尔曼滤波器的算法, 对出端光纤位置逐一搜索；搜索光纤位置时区分层内、层间设置不同初始步长, 按均方误差最小原则对搜索步长进行修正.算法采用了比对终止边界、标定已搜索光纤两种稳健性措施, ‘Z’字型搜索路径提高了算法效率.实验结果表明, 搜索算法得到的位置坐标表准确标定光纤位置, 提取光纤束耦合的信息还原了目标图像.

To obtain ultra-high spatial resolution image, a kind of non-conventional fiber bundle, whose input was line array while output was plane array, was designed. The coordinate table of each fiber in input and output terminals must be ascertained when synthesizing object images by using the scanning-imaging system of the fiber bundle. However, limited by manufacture technology, the fiber bundle output structure was not strictly aligned. An algorithm based on Kalman Filter, aiming at the coordinate errors, was proposed in this paper. Different initial searching step was given to inner layer and intra layer respectively, by searching fiber center’s position one by one in the output terminal, under the principle of minimum mean square error. The coordinate table of the output was established, and the position mapping relationship between output and input was built. Comparing the termination margin and marking the searched fiber were the two ways to improve the robustness of the algorithm. Z-shaped path improves the efficiency of the algorithm. The results show that the coordinates obtained by the proposed algorithm can demarcate the position of the fiber and the object image was restored by extracting the information of the scanning imaging system coupled by the bundle.