基于机器视觉的物体识别分拣装置研究
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摘要
图像处理技术的发展,使得机器视觉技术越来越多的应用到现代化工业生产当中。通过研究机器视觉在物体分拣问题中的应用,利用ARM9开发平台,设计一款模拟工业分拣系统装置,介绍了开发中所用到的图像处理函数与算法。在霍夫直线检测和霍夫圆变换方法基础上,提出一种评价轮廓与所拟合正方形误差的计算方法。通过模拟实验平台模拟工业物体分拣过程,能够实现对规则物体与残次物体的分拣,验证了所提出识别方法的可行性。
With the development of image processing technology,machine vision technology has been widely used in modernindustrial production. This paper studies the application of machine vision in object sorting problem,designs an analog industrialsorting system device by using ARM9 development platform,and introduces the image processing function and algorithm used in thedesign. Based on the Hough linear detection method and the Hough circle transform method,a method for evaluating the contourand the fitted square error is proposed. By simulating the sorting process of industrial objects on the device,this method can realizethe sorting between regular objects and residual objects,and verify the feasibility of the proposed method.
With the development of image processing technology,machine vision technology has been widely used in modernindustrial production. This paper studies the application of machine vision in object sorting problem,designs an analog industrialsorting system device by using ARM9 development platform,and introduces the image processing function and algorithm used in thedesign. Based on the Hough linear detection method and the Hough circle transform method,a method for evaluating the contourand the fitted square error is proposed. By simulating the sorting process of industrial objects on the device,this method can realizethe sorting between regular objects and residual objects,and verify the feasibility of the proposed method.
引文
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[2]马超.浅谈机器视觉技术在机械领域的应用[J].中国科技博览,2012(19):31-31.MA Chao. Brief discussion on the application of machinevision technology in mechanical field[J]. China scienceand technology expo,2012(19):31-31.
[3]夏贤华,谢经明,柯丰恺,等.基于机器视觉的玻璃瓶在线检测系统研究与开发[J].机械与电子,2013(11):67-70.XIA Xianhua,XIE Jingming,KE Fengkai,et al. Researchand development of the online detection system of glassbottle based on machine vision[J]. Mechanical and electron,2013(11):67-70.
[4]Tsai M J,Lee H W,Ann N J. Machine vision based pathplanning for a robotic golf club head welding system[J].Robotics&Computer Integrated Manufacturing,2011,27(4):843-849.
[5]刘长青,李军,席巍.基于机器视觉的零件在线分选系统研究[J].数字技术与应用,2012(4):71-73.LIU Changqing,LI Jun,XI Wei. Research on the onlinesorting system based on machine vision[J]. Digital technology and application,2012(4):71-73.
[6]Zhang Z. A Flexible New Technique for Camera Calibration[J]. IEEE Transactions on Pattern Analysis&Machine Intelligence,2000,22(11):1330-1334.
[7]耿春明,蔡东宝.基于计算机视觉的机械零件检测系统设计[J].计算机测量与控制,2012,20(01):38-40.GENG Chunming,CAI Dongbao. Design of mechanicalcomponent detection system based on computer vision[J]. Computer measurement and control,2012,20(01):38-40.
[8]张铖伟,王彪,徐贵力.摄像机标定方法研究[J].计算机技术与发展,2010,20(11):174-179.ZHANG Chengwei,WANG Biao,XU Guili. Camera calibration method research[J]. Computer technology and development,2010,20(11):174-179.
[9]王晓辉,程健庆,韩瑜,等.基于Opencv和C++的摄像机标定研究与实现[J].计算机与数字工程,2013,41(11):1814-1816.WANG Xiaohui,CHENG Jianqing,HAN Yu,et al. Research and implementation of camera calibration based onOpencv and c++[J]. Computer and digital engineering,2013,41(11):1814-1816.
[10]龚声蓉,刘纯平,赵勋杰.数字图像处理与分析[M].北京:清华大学出版社,2014.WANG Shengrong,LIU Chunping,ZHAO Xunjie. Digitalimage processing and analysis[M]. Beijing:Tsinghuauniversity press,2014.
[11]邵丹,韩家伟. YUV与RGB之间的转换[J].长春大学学报,2004,14(4):51-53.SHAO Dan,HAN Jiwei. The transformation of YUV andRGB[J]. Journal of changchun university,2004,14(4):51-53.
[12]杨平.利用OpenCV实现在Android系统上的图像边缘检测[J].计算机与数字工程,2014,42(07):1254-1256,1295.YANG Ping. Using OpenCV to realize image edge detection on Android system[J]. Computer and digital engineering,2014,42(07):1254-1256,1295.
[13]毛庆洲,潘志敏,高文武.利用迭代霍夫圆变换实现成捆棒材可靠计数[J].武汉大学学报(信息科学版),2014,39(3):373-378.MAO Qingzhou,PAN Zhimin,GAO Wenwu. The reliablecounting of bundles of bars using the iterative houghtransform[J]. Journal of wuhan university(informationscience edition),2014,39(3):373-378.
[14]Manzanera A,Nguyen T P,Xu X. Line and circle detection using dense one-to-one Hough transforms ongreyscale images[J]. Eurasip Journal on Image&VideoProcessing,2016,2016(1):46.
[15]赵辉煌,孙雅琪,张珍来.基于OpenCV的双幅图像采集系统设计与实现[J].计算机与数字工程,2012,40(9):97-98.ZHAO Huihuang,SUN Yaqi,ZHANG Zhenlai. The design and implementation of double image acquisition system based on OpenCV[J]. Computer and digital engineering,2012,40(9):97-98.
[16]栾帅,尹红娟.基于霍夫变换的足球场标志线检测[J].计算机与数字工程,2017,45(1):152-155.LUAN Shuai,YIN Hongjuan. Detection of football fieldmarking based on hough transform[J]. Computer and digital engineering,2017,45(1):152-155.