摘要
在简要分析目前标识点自动提取技术难点的基础上,提出邻域灰度重心连线交点和累积量判断的“+”交叉点快速探测与单点匹配式高精度定位算法。试验结果表明,算法能够很好地适应噪声环境、光照变化、图像旋转、采样误差、一定程度视角变化和透视变形等影响,达到0.01~0.05像素级的定位精度。
The key problems in current methods of automatic extracting of marking cross points are analyzed. Then, a quick detection of the cross points based on the intersection of the barycenters and the accumulation volume is proposed, and a accurate locating algorithm by single-point-mode matching is designed to ensure the accuracy. Experimental results show that the algorithm is robust to noise, rotation, resampling error, illumination variations, a certain degree of view variation and perspective distortion. The locating accuracy of 0.01 to 0.05 pixels is obtained.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2014年第4期1197-1202,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
武器装备预研项目
国防预研基金项目
关键词
信息处理技术
特征提取
标识识别
标识点定位
特征匹配
视觉测量
information processing technology
feature extracting
marking point recognition
pointfeature location
feature matching
photogrammetry