光电跟踪系统高精度模板匹配跟踪算法

为实现在光电跟踪系统条件下的高精度测量并且满足复杂环境下高精度目标匹配,本文选用去均值归一化互相关匹配算法。为提高匹配速度以及跟踪实时性,利用和表法计算公式中图像求和、平方和图像匹配互相关来简化计算复杂度;采用小波分层金字塔法作为搜索策略,并将模板质心作为参考点进行十字形搜索,引入终止阈值减少误匹配点进一步提高搜索速度。为验证该算法的有效性,实验中将光电跟踪系统放置在二维转台上,调整转台利用该算法跟踪目标靶板。实验结果表明,目标脱靶量控制在3个像素以内,该算法在光电跟踪系统上可实现高精度稳定跟踪。

High-precision Template Matching Tracking Algorithm for Optoelectronic Tracking System

To achieve high-precision measurements under the operating conditions of optoelectronic tracking systems and satisfy high-precision target matching in complex environments, in this study we adopted the average normalized cross-correlation algorithm. To improve the matching speed and real-time tracking, the computational complexity was simplified by using the sum table method to correlate the sum of images, squares, and the correlation of images. The wavelet pyramid method was used as the search strategy, and the center of the template was used as the reference point for cross-shaped search. A termination threshold was introduced, which reduced the number of mismatched points to increase the search speed. To verify the effectiveness of the algorithm, an optoelectronic tracking system was placed on a two-dimensional turntable in an experiment that used the algorithm to track a target. The experimental results show that the missed target was controlled within 3 pixels. The proposed algorithm can realize high-precision and stable tracking in optoelectronic tracking systems.