摘要
提出一种新的激光CCD二维自准直仪中圆目标中心精确定位算法。该算法采用变结构元多尺度广义数学形态学滤波算法滤除图像噪声,由Zernike矩定位算法得出目标轮廓的亚像素位置,用最小二乘拟合法精确获取圆目标的中心位置,并进行了实验。结果表明:该算法稳定性好,定位精度高,应用该算法后自准直仪的测量分辨力提高了10倍,在±2′测量范围内测量不确定度优于0.3″,有效地提高了自准直仪的测量分辨力和测量精度。
A precise circle target center location algorithm was proposed and the muhiscale generalized mathematical morphological filtering method with multiple structuring elements was utilized for eliminating noise in the image. The subpixel position of circle target was obtained by Zernike moment contour subpixel location algorithm,and the circle target center position was acquired ultimately and accurately using circle fitting method based on least square method. The experiment results show that the method is stable and accurate located for measuring 2D small angle, and the measuring uncertainty of this modified instrument is better than 0. 3″ within ± 2′ range, with the measuring resolution increased by 10 times. The results also show that the measuring resolution and accuracy of the autocollimator can be improved effectively.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2005年第6期668-673,共6页
Optics and Precision Engineering
关键词
自准直仪
变结构元多尺度形态滤波
ZERNIKE矩
亚像素定位
autocollimator
multiscale and multiple structuring element morphological filtering
Zernike moment
subpixel location
