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高亮度下近红外激光散斑投射的轮廓测量

3064    2017-12-04

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作者:梁晋, 梁瑜, 张桁维, 徐劲澜, 孟繁昌, 尤威, 刘烈金

作者单位:西安交通大学机械工程学院 机械制造系统工程国家重点实验室, 陕西 西安 710049


关键词:轮廓测量;数字图像相关法;散斑;近红外激光


摘要:

为实现在高亮度条件下模型外形轮廓的测量,首先在计算机上生成随机矢量化散斑图案,并用激光雕刻技术制成散斑片作为散斑投射模板,采用光波为850 nm的VCSEL激光器作为投射光源并制成激光散斑投射器。在高亮度条件下,通过给相机加装窄带滤光镜实现散斑图像的清晰获取,最后基于数字图像相关法完成图像的立体匹配并最终解算出模型点云。实验表明:该方法在20 400 lx条件下仍然可以实现模型的外形轮廓测量,且标准球测量结果相对偏差为0.038 4%;应用近红外激光散斑投射并给相机加装窄带滤光镜可有效减少干扰光影响,可以在高亮度条件下完成模型轮廓的精准测量。


Profile measurement of near infrared laser speckle projection in high brightness

LIANG Jin, LIANG Yu, ZHANG Hengwei, XU Jinlan, MENG Fanchang, YOU Wei, LIU Liejin

School of Mechanical Engineering, Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, Xi'an 710049, China

Abstract: In order to accomplish the profile measurement of a model in the condition of high brightness, a random vectorized speckle pattern should be generated on a computer first and then it will be made into a speckle piece as a speckle reflection template with a laser engraving technology. The laser speckle projector will be made by taking a VCSEL laser(wavelength is 850 nm) as the light source of the speckle projection. Under the condition of high brightness, the narrowband filter is installed to realize the clear acquisition of speckle image, the stereo matching of image will be completed based on the digital image correlation method and finally the model point will be calculated. Experiments show that under the condition of 20 400 lx, the method can still measure the profile of the model and the relative deviation of the test results of a standard ball is 0.038 4%. The study shows that using the near infrared laser as the light source and equipping narrowband filter to the camera can reduce the interference effectively and the precise model contour measurement can be realized under the condition of high brightness.

Keywords: profile measurement;digital image correlation method;speckle;near infrared laser

2017, 43(11): 17-21,36  收稿日期: 2016-12-29;收到修改稿日期: 2017-02-12

基金项目: 国家自然科学基金资助项目(51675404,51421004)

作者简介: 梁晋(1968-),男,河南郑州市人,教授,博士生导师,研究方向为机器视觉。

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