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华中科技大学 机械科学与工程学院,湖北 武汉,430074
收稿日期:2006-06-09,
修回日期:2006-12-06,
网络出版日期:2007-01-30,
纸质出版日期:2007-01-30
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伍济钢, 宾鸿赞. 机器视觉的薄片零件尺寸检测系统[J]. 光学精密工程, 2007,15(1):124-130.
WU Ji-gang, BIN Hong-zan. Dimensional inspecting system of thin sheet parts based on machine vision[J]. Optics and precision engineering, 2007, 15(1): 124-130.
对基于机器视觉的薄片零件尺寸检测系统进行研究。针对计算机硬盘弹性臂薄片零件的尺寸检测
采用线阵工业相机扫描获取待检零件图像
根据扫描特性提出了标定算法
同时提出了一种轮廓矢量化算法。将经过滤波、标定、二值化、边缘提取和细化的图像进行轮廓矢量化得到待检零件的尺寸参数
并与从设计图DXF文件中读取的零件的相应尺寸参数进行对比
判断零件制造质量。实测结果表明
检测系统的轮廓矢量化精度达到1 pixel
检测精度达到1 μm
平均每个零件的检测时间为1 s
该检测系统是可行的。
According to the dimensional inspection
taking the thin sheet part of Head Gimbal Assembly (HGA) of the computer hard disk as an object
a line type industrial camera is used to acquire the image of the inspected part by line scanning. The calibration algorithm is proposed based on the property of the line scanning
and a contour vectorization algorithm is developed. The dimensional parameters of inspecting part are gained adopting the contour vectorization algorithm in which the image has been processed by filtering
calibration
binarization
edge detection and thinning. The parametric errors are obtained to evaluate the quality of a thin sheet part comparing the dimensional parameters obtained from scanned image to the dimensional parameters obtained from reading the design DXF file. The experimental results indicate that the precision of contour vectorization can reach to 1 pixel
the inspection accuracy can reach to 1 μm
the average inspection time of every part is 1 s and the inspecting system is feasible.
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