一种基于FAsT-Match算法的多靶位定位方法

Multi-target Localization Method Based on FAsT-Match Algorithm

FAsT-Match(Fast Affine Template Matching)算法很好地实现了二维仿射变换情况下的模板在连续图像中的快速、精准定位。该算法对光照变化不敏感,具有较强的鲁棒性,但是对于有多个目标的图像,只能定位到一个近似全局最优解。因此,首先对FAsT-Match算法进行改进,将通过对得到的仿射变换矩阵进行模糊c均值聚类而得到的目标区域作为新的目标图像,然后采用原始的FAsT-Match算法进行定位,最后将新目标位置返回到原始目标图像中。该方法弥补了FAsT-Match算法只能定位单目标的不足,应用到无线激光模拟射击系统中能够降低硬件成本,快速、精确地定位靶位目标。实验结果表明,该方法是有效的,可以在满足定位多个目标的需求的基础上实现多靶位定位,具有一定的实用价值。

FAsT-Match algorithm can realize the fast and accurate positioning of the template in a continuous image in the case of two-dimensional affine transformation.FAsT-Match algorithm is insensitive to light changes and has strong robustness.However,for images with multiple targets,only an approximate global optimal solution can be located.Therefore,the FAsT-Match algorithm was improved in this paper,and the target region obtained by fuzzy c-means clustering was used as the new target image,and then the original FAst-Match algorithm was used to locate the new target position and return to the original target image.This method can make up the shortcomings of only locating single target in FAsT-Match algorithm,reduce the hardware cost and locate target fast and accurately when it is applied in the wireless laser shooting system.The experimental results show that the method is effective and can meet the needs of positioning multiple targets,and has certain practical value.