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Research on the Dimensional Accuracy Measurement Method of Cylindrical Spun Parts Based on Machine Vision

机译:基于机器视觉的圆柱纺零件尺寸精度测量方法研究

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A new method for measuring the dimensional accuracy of the cylindrical spun parts based on machine vision was proposed to overcome the artificial deviation and low efficiency of manual measurement. The image acquisition system of machine vision was built up. The methods of image processing and edge extraction of cylindrical spun parts were studied. The straightness and ovality of the cylindrical spun parts were obtained by the proposed new method. The results showed that the edge contour of the cylindrical spun parts extracted by Canny edge detector is better than Sobel and Prewitt edge detector. The dimensional accuracy of the cylindrical spun parts can be obtained accurately by the proposed measurement method based on machine vision. The relative errors of the straightness and ovality between the machine vision and the manual measurement are less than 10%.
机译:提出了一种基于机器视觉的圆筒形旋转零件尺寸精度测量新方法,以克服人工偏差和手工测量效率低的问题。建立了机器视觉图像采集系统。研究了圆柱旋转零件的图像处理和边缘提取方法。通过提出的新方法获得了圆柱纺零件的直线度和椭圆度。结果表明,Canny边缘检测器提取的圆柱旋转零件的边缘轮廓要好于Sobel和Prewitt边缘检测器。所提出的基于机器视觉的测量方法可以精确地获得圆柱状旋转零件的尺寸精度。机器视觉和手动测量之间的直线度和椭圆度的相对误差小于10%。

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