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A Steel Plate Correction Method of NC Flame Cutting Based on Edge Detection

机译:基于边缘检测的数控火焰切割钢板校正方法

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摘要

In order to overcome the low efficiency and precision disadvantages of steel plate position manual correction in the NC(numerical control) Flame Cutting, a high efficient steel plate position correction method is proposed by detecting the edge of steel plate images. Based on the development environment of OpenCV, the video of steel plate is captured based on the DirectShow Technology and the edge linear equation of steel plate is obtained by detecting the steel plate image edge with Canny algorithm and the angle between the equation and the x axis is obtained. The steel plate correction algorithm is designed, and based on the deviation angle of the steel plate, and rotation transformation of related processing images, the steel plate corrections is conducted automatically. The experimental testing of steel plate correction is done and the results show that the method can well done the steel plate correction and the error lower than 0.3 degree and can satisfy the flame cutting process requirement and have a great theory and economic value.
机译:为了克服数控火焰切割中钢板位置手动校正的低效率和精度缺点,提出了一种通过检测钢板图像边缘的高效钢板位置校正方法。基于OpenCV的开发环境,基于DirectShow技术采集钢板视频,利用Canny算法检测钢板图像边缘以及其与x轴的夹角,获得钢板边缘线性方程。获得。设计了钢板校正算法,并根据钢板的偏角和相关加工图像的旋转变换,自动进行钢板校正。进行了钢板矫正的实验测试,结果表明,该方法能够很好地完成钢板矫正,误差小于0.3度,能够满足火焰切割工艺的要求,具有较大的理论和经济价值。

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