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华南理工大学 机械工程学院,广东 广州 510640
收稿日期:2006-05-14,
修回日期:2006-11-17,
网络出版日期:2007-02-20,
纸质出版日期:2007-02-20
移动端阅览
张舞杰, 杨义禄, 李 迪, 等. 自动影像测量系统关键算法[J]. 光学精密工程, 2007,15(2):294-301.
ZHANG Wu-jie, YANG Yi-lu, LI Di, et al. Key algorithms of automatic image measurement system[J]. Optics and precision engineering, 2007, 15(2): 294-301.
为了实现对工件的自动影像测量
建立了自动影像测量系统。对该系统所采用的图元识别、图元测量、基于自动聚焦原理的高度测量等算法进行研究。根据圆形和矩形图元的面积和真圆度等特征参数介绍了图元识别算法。以直线和圆形图元为例分析了典型图元的测量算法
即在提取图元边缘点的基础上进行图元拟合。在分析比较能量谱等聚焦评价方法的性能的基础上
说明了采用自动聚焦原理进行高度测量的算法。最后
介绍了系统比例尺的设定方法以及光栅尺读数的误差补偿方法。实验结果表明:比例尺的标定精度为0.5 μm;图元的测量精度在微米级;高度测量精度为0.035 mm
基本满足自动影像测量的稳定可靠、精度高、抗干扰能力强等要求。
In order to realize automatic image measurement for work pieces
an automatic image measurement system is established and the algorithms used in this system such as geometric figure recognition and measurement
height measurement based on autofocus
etc are investigated. The geometric figure recognition algorithms according to the geometric features such as the circle and circularity of area and rectangle are presented and measuring principles and algorithms of typical plane geometric figures are analyzed by taking the measurement of the line and circle geometric figures as an example i.e.
the figure fitting is adopted after the edge points of geometric figures are extracted. Then
after the performance of several autofocus evaluating methods is compared
the algorithm of height measurement by visual automatic focusing is analyzed. Finally
the setting method for scale and the error compensation algarithm of raster reading are discussed as well. Experimental results indicate that the precision of the system's scale is 0.5 μm and the measuring precision of figures is within micron
the precision of height measurement is 0.035 mm
which can satisfy the system requirements of non-contact
online
real time
higher precision and rapid speed
as well as strong anti-jamming and stabilization.
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