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1.西安工业大学 陕西省薄膜技术与光学检测重点实验室,陕西 西安 710021
2.重庆川仪自动化股份有限公司,重庆 400702
3.中检西部检测有限公司,陕西 西安 710032
Received:05 December 2022,
Revised:28 February 2023,
Published:25 June 2023
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高睿喆,田爱玲,陈锋等.复合式二次边缘检测的红宝石球直径高精度测量[J].光学精密工程,2023,31(12):1741-1751.
GAO Ruizhe,TIAN Ailing,CHEN Feng,et al.High precision measurement of ruby ball diameter by compound secondary edge detection[J].Optics and Precision Engineering,2023,31(12):1741-1751.
高睿喆,田爱玲,陈锋等.复合式二次边缘检测的红宝石球直径高精度测量[J].光学精密工程,2023,31(12):1741-1751. DOI: 10.37188/OPE.20233112.1741.
GAO Ruizhe,TIAN Ailing,CHEN Feng,et al.High precision measurement of ruby ball diameter by compound secondary edge detection[J].Optics and Precision Engineering,2023,31(12):1741-1751. DOI: 10.37188/OPE.20233112.1741.
为了对红宝石球直径进行非接触式、高精度测量,本文提出了一种复合式二次边缘检测法。首先,对拍摄到的红宝石球图像进行预处理后使用自适应阈值的Canny边缘检测算法对红宝石球图像进行一次边缘检测;其次,采用基于像素加权平均的图像融合算法对红宝石球二值化图像与边缘检测图像进行融合,对融合后的图像进行边缘提取,选择三次样条插值法对边缘图像进行插值,通过曲线拟合获得图像边缘的亚像素坐标,根据坐标进行圆拟合,结合标定得到检测结果,完成复合式二次边缘检测,从而实现对红宝石球直径的高精度测量。实验结果表明:对6 mm的红宝石球直径测量,测量精度可达
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,定位精度不超过0.1个像素,满足企业测量要求,为后续实现工业自动化检测提供了较好的技术支持。
For precisely measuring the diameters of ruby balls in a non-contact manner, a compound secondary edge detection method is proposed. First, the image of the ruby ball is preprocessed, and the adaptive threshold Canny edge detection algorithm is used to detect the edge of the ruby ball image. Second, an image fusion algorithm based on the pixel weighted average is used to fuse the binary image of the ruby ball and the edge detection image. Then, the edge of the fused image is extracted, the cubic spline interpolation method is used to interpolate the edge image, the subpixel coordinates of the image edge are obtained via curve fitting, and circle fitting is performed according to the coordinates. Thereafter, the detection results are obtained through calibration. Compound secondary edge detection is performed for precisely measuring the diameter of a ruby ball. The experimental results indicate that the measurement accuracy for a 6-mm ruby ball diameter can reach 2 μm, and the positioning accuracy is less than 0.1 pixels, thus satisfying the measurement requirements of enterprises and providing better technical support for industrial automatic detection.
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