摘要
激光光斑成像质量是激光制导武器的重要指标之一,而传统的亚像素定位算法,面临抗干扰能力弱,定位精度低和软件实现复杂等问题。为实现实时高精度激光光斑检测,本文提出一种改进的加权插值的亚像素细分算法,通过对图像中光斑范围内一定区域的所有有效像元节点分组进行插值计算,并将各组结果进行加权处理以获得更高的光斑定位,显著提高了精度和稳定性。经过误差分析和实验证明,此算法有效提高激光光斑中心检测抗干扰性能和定位精度。
The laser spot image quality is one of the important indexes for laser guided weapons, but traditional sub pixel location algorithm often has some problems such as poor anti interference capability, low location precision and complexity of software realization. In order to realize the measurement of precise laser spot center, an improved weight interpolation sub pixel algorithm is proposed. All effective image pixel nodes within the laser-spot collected with CCD are grouped and interpolated respectively, and then the calculated results of each group are weighted to achieve high locating precision and stability. By error analysis and experiments, this algorithm can improve the location precision and anti-interference performance efficiently.
出处
《激光与红外》
CAS
CSCD
北大核心
2016年第1期81-84,共4页
Laser & Infrared
基金
黑龙江省教育厅科学技术研究项目(No.11541064)资助
关键词
质心算法
插值
激光光斑
反距离加权
亚像素精度
centroid method
interpolation
laser spot center
inverse distance weighted method
sub pixel precision
