基于Halcon的普通工件目标检测方法
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摘要
为提高工业中工件尺寸检测的精确度,提出一种基于Lanser算子的亚像素边缘检测与基于亚像素的形状选择函数相结合的方法。对目标系统进行标定、区域提取,通过该检测方法对目标区域进行检测,对目标轮廓进行基于Tukey算法的鲁棒性拟合,对目标轮廓进行目标特征计算,得出目标轮廓的亚像素尺寸。实测结果表明了该检测方法的有效性,与基于Blob分析检测方法相比,克服了光照不均情况下边缘的精确检测问题,提高了检测的准确性和快速性。
To improve the accuracy of mechanical parts measurement in industry,a method of sub-pixel edge detection based on Lanser operator and sub-pixel shape selection function was proposed.The target system was calibrated and the region was extracted,and the target area was detected using the detection method.The target contour was fitted robustly based on the Tukey algorithm.The target contour was calculated and the sub-pixel size of the target contour was obtained.Experimental results show the effectiveness of the detection system,compared with the detection based on Blob analysis algorithm,it overcomes the precise detection problem at the edge of the uneven illumination.And results indicate the measurement method improves the accuracy and fastness.
To improve the accuracy of mechanical parts measurement in industry,a method of sub-pixel edge detection based on Lanser operator and sub-pixel shape selection function was proposed.The target system was calibrated and the region was extracted,and the target area was detected using the detection method.The target contour was fitted robustly based on the Tukey algorithm.The target contour was calculated and the sub-pixel size of the target contour was obtained.Experimental results show the effectiveness of the detection system,compared with the detection based on Blob analysis algorithm,it overcomes the precise detection problem at the edge of the uneven illumination.And results indicate the measurement method improves the accuracy and fastness.
引文
[1]Huang SH,Pan YC.Automated visual inspection in the semiconductor industry:A survey[J].Computers in Industry,2015,66(1):1-10.
[2]QI Xiaoling,ZHAO Xiaxia,JIN Wuyin.Geometric dimensions measurement for shaft based on machine vision[J].Modular Machine Tool&Automatic Manufacturing Technique,2013,1(1):65-67(in Chinese).[祁晓玲,赵霞霞,靳伍银.基于机器视觉的轴类零件几何尺寸测量[J].组合机床与自动化加工技术,2013,1(1):65-67.]
[3]WANG Yongjiao,GUO Lizheng.Edge location algorithm of size measurement of image processing technology[J].Journal of Xinyang Normal University(Natural Science Edition),2014,27(1):135-138(in Chinese).[王永皎,郭力争.基于图像处理技术的尺寸测量中边缘定位算法[J].信阳师范学院学报(自然科学版),2014,27(1):135-138.]
[4]GONG Lixiong.Screw thread size measurement based on two dimensional wavelet sub-pixel image processing[J].Computer Applications and Software,2014,31(8):136-140(in Chinese).[龚立雄.基于二维小波亚像素图像处理的螺纹尺寸测量[J].计算机应用与软件,2014,31(8):136-140.]
[5]LI Jiangping,HE Boxia,YANG Yuanyuan,et al.Automatic measurement of large size rings based on machine vision[J].Application Research of Computers,2017,33(6):1-6(in Chinese).[李江平,何博侠,杨元元,等.基于机器视觉的大尺寸密封圈全自动测量方法[J].计算机应用研究,2017,33(6):1-6.]
[6]DING Wei,DING Song.Research on O-shaped metal seal subpixel image dimension detection[J].Computer Engineering and Applications,2017,53(3):216-220(in Chinese).[丁伟,丁松.O型金属密封件亚像素尺寸检测方法的研究[J].计算机工程与应用,2017,53(3):216-220.]
[7]WANG Qinghai,ZHAO Fengxia,LI Jifeng,et al.Research on defect detection method of glass fiber fabric based on Blob analysis[J].Journal of Zhengzhou University(Engineering Science),2015,36(6):90-93(in Chinese).[王庆海,赵凤霞,李纪峰,等.基于Blob分析的玻璃纤维织物缺陷检测方法研究[J].郑州大学学报(工学版),2015,36(6):90-93.]
[8]SUN Shaohong.Research of accurate measurement based on machine vision[D].Guangxi:Guilin University of Electronic Technology,2014:29-30(in Chinese).[孙少红.基于机器视觉的精确尺寸测量研究[D].广西:桂林电子科技大学,2014:29-30.]
[9]FANG Jianliang.Size measurement and surface defects detection of magnetic shoes and systematic development[D].Zhejiang:Zhejiang Scitech University,2016:24-28(in Chinese).[方建良.磁瓦尺寸测量与表面缺陷检测及其系统开发[D].浙江:浙江理工大学,2016:24-28.]
[10]JIA Binghui.Key technology research of tool condition detection on machine based on machine vision[D].Guangdong:South China University of Technology,2014:49-51(in Chinese).[贾冰慧.基于机器视觉的刀具状态在机检测关键技术研究[D].广东:华南理工大学,2014:49-51.]
[11]Wang HS,Zhang Q,Wang FL.Iterative circle fitting based on circular attracting factor[J].Journal Central.South Univer,2013,20(10):2663-2675.
[12]ZHANG Hui,JIN Xiating.A new method for new energy electric vehicle charging hole detection and location based on machine vision[J].Measurement&Control Technology,2017,36(2):9-14(in Chinese).[张辉,金侠挺.基于机器视觉的新能源电动车充电孔检测与定位方法[J].测控技术,2017,36(2):9-14.]
[2]QI Xiaoling,ZHAO Xiaxia,JIN Wuyin.Geometric dimensions measurement for shaft based on machine vision[J].Modular Machine Tool&Automatic Manufacturing Technique,2013,1(1):65-67(in Chinese).[祁晓玲,赵霞霞,靳伍银.基于机器视觉的轴类零件几何尺寸测量[J].组合机床与自动化加工技术,2013,1(1):65-67.]
[3]WANG Yongjiao,GUO Lizheng.Edge location algorithm of size measurement of image processing technology[J].Journal of Xinyang Normal University(Natural Science Edition),2014,27(1):135-138(in Chinese).[王永皎,郭力争.基于图像处理技术的尺寸测量中边缘定位算法[J].信阳师范学院学报(自然科学版),2014,27(1):135-138.]
[4]GONG Lixiong.Screw thread size measurement based on two dimensional wavelet sub-pixel image processing[J].Computer Applications and Software,2014,31(8):136-140(in Chinese).[龚立雄.基于二维小波亚像素图像处理的螺纹尺寸测量[J].计算机应用与软件,2014,31(8):136-140.]
[5]LI Jiangping,HE Boxia,YANG Yuanyuan,et al.Automatic measurement of large size rings based on machine vision[J].Application Research of Computers,2017,33(6):1-6(in Chinese).[李江平,何博侠,杨元元,等.基于机器视觉的大尺寸密封圈全自动测量方法[J].计算机应用研究,2017,33(6):1-6.]
[6]DING Wei,DING Song.Research on O-shaped metal seal subpixel image dimension detection[J].Computer Engineering and Applications,2017,53(3):216-220(in Chinese).[丁伟,丁松.O型金属密封件亚像素尺寸检测方法的研究[J].计算机工程与应用,2017,53(3):216-220.]
[7]WANG Qinghai,ZHAO Fengxia,LI Jifeng,et al.Research on defect detection method of glass fiber fabric based on Blob analysis[J].Journal of Zhengzhou University(Engineering Science),2015,36(6):90-93(in Chinese).[王庆海,赵凤霞,李纪峰,等.基于Blob分析的玻璃纤维织物缺陷检测方法研究[J].郑州大学学报(工学版),2015,36(6):90-93.]
[8]SUN Shaohong.Research of accurate measurement based on machine vision[D].Guangxi:Guilin University of Electronic Technology,2014:29-30(in Chinese).[孙少红.基于机器视觉的精确尺寸测量研究[D].广西:桂林电子科技大学,2014:29-30.]
[9]FANG Jianliang.Size measurement and surface defects detection of magnetic shoes and systematic development[D].Zhejiang:Zhejiang Scitech University,2016:24-28(in Chinese).[方建良.磁瓦尺寸测量与表面缺陷检测及其系统开发[D].浙江:浙江理工大学,2016:24-28.]
[10]JIA Binghui.Key technology research of tool condition detection on machine based on machine vision[D].Guangdong:South China University of Technology,2014:49-51(in Chinese).[贾冰慧.基于机器视觉的刀具状态在机检测关键技术研究[D].广东:华南理工大学,2014:49-51.]
[11]Wang HS,Zhang Q,Wang FL.Iterative circle fitting based on circular attracting factor[J].Journal Central.South Univer,2013,20(10):2663-2675.
[12]ZHANG Hui,JIN Xiating.A new method for new energy electric vehicle charging hole detection and location based on machine vision[J].Measurement&Control Technology,2017,36(2):9-14(in Chinese).[张辉,金侠挺.基于机器视觉的新能源电动车充电孔检测与定位方法[J].测控技术,2017,36(2):9-14.]