摘要
为了解决电梯导轨人工测量劳动强度大、效率和精度低的问题,设计了一套基于双目视觉的电梯导轨自动测量系统,该系统由硬件系统和软件系统组成。针对电梯导轨表面对比度低、特征点少等问题,使用激光网格投影到待测量的工件表面,使工件表面具备确定的可识别特征,并使用改进的RANSAC算法提取特征网格;然后使用SURF算法进行图像特征点的提取和匹配,并根据相机标定结果计算特征点的空间坐标;最后根据特征点的空间坐标,计算电梯导轨的平面度、平行度和垂直度。实验结果表明,该系统选型合理,软件稳定性好、效率高,提高了电梯导轨的测量效率和精度,具有很好的实用价值。
The artificial measurement of elevator guide rails is labor intensity, low efficiency and low precision. In order to solve the problem, designed a set of elevator guide rails automatic measurement system based on binocular vision. The system consists of the hardware system and the software system. Aiming at the problems of low contrast and less feature points of the surface of the elevator guide rails, the laser grid is projected onto the surface of the workpiece, so that the surface can be determined with identi- fying characteristics. It uses improved RANSAC algorithm to extract the laser grid. And then it uses SURF algorithm to extract and match the image feature points, and calculates the spatial coordinates of the feature points based on the camera calibration result. Finally, it calculates the flatness, parallelism and perpendicularity of the elevator guide rails according to the spatial coordinates of the feature points. Experimental results show that the system is reasonable, good software stability and high efficiency. It improves the efficiency and accuracy of the measurement of elevator guide rails and has a very good practical value.
出处
《现代制造工程》
CSCD
北大核心
2017年第6期24-30,共7页
Modern Manufacturing Engineering
基金
国家自然科学基金项目(61305016)
关键词
双目视觉
电梯导轨
特征提取
图像匹配
binocular vision
elevator guide rail
feature extraction
image matching