基于CCD亚像元细分原理的点目标自动采样算法

该文首先从短焦距镜头和给定CCD成像阵列的成像特性出发，分析了实现亚像元成像与定位的必要性。在对比提高像素分辨率和提高测量分辨率这两种亚像元动态成像技术之后，研究了如何在保持现有硬件系统不变的情况下，通过软件插值细分实现亚像元定位的方法。针对点目标图像可能存在的“方块效应”与“细节退化”现象，结合点目标灰度特性处理技术，改进并完善了邻域线性插值细分方法。从而，提出该基于CCD亚像元细分原理的点目标自动采样算法。实验结果证明：该算法简单、可靠、稳定、快速，并具有一定适用性，为相关领域内的应用提供了宝贵的参考价值。

An Automatic Points Sampling Algorithm Based on CCD Sub-pixel Division

Based on the characteristics of short focus lens and CCD array, the necessity of sub-pixel imaging and location is analyzed. After comparing the increased image resolution with increased measuring resolution, method for sub-pixel location by software interpolation division has been realized without the changes of hardware. According to the phenomenon of edge degradation and block effect, combined with pixel gray transformation techniques, an automatic points sampling algorithm is proposed in this paper. Experiment results prove it stable, reliable, fast and flexible with much reference value in related fields.