|本期目录/Table of Contents|

[1]冯 雨,方成刚,张文东,等.基于机器视觉的碳毡装配检测算法系统设计[J].工业仪表与自动化装置,2024,(02):39-43+85.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.007]
　FENG Yu,FANG Chenggang,ZHANG Wendong,et al.Design of carbon felt assembly inspection algorithm system based on machine vision[J].Industrial Instrumentation & Automation,2024,(02):39-43+85.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.007]
点击复制

基于机器视觉的碳毡装配检测算法系统设计(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年02期
页码:
39-43+85
栏目:
出版日期:
2024-04-15

文章信息/Info

Title:
Design of carbon felt assembly inspection algorithm system based on machine vision
文章编号:
1000-0682（2024）02-0039-05
作者:
冯 雨1; 方成刚1; 张文东2; 程丽娟3
（1.南京工业大学 机械与动力工程学院, 江苏 南京 211800;2.北京西融储能科技有限公司, 北京 102600;3.镇江艾牧智能科技有限公司, 江苏 镇江 212000）
Author(s):
FENG Yu1;  FANG Chenggang1;  ZHANG Wendong2;  CHENG Lijuan3
(1.School of Mechanical and Power Engineering, Nanjing Tech University, Jiangsu Nanjing 211800, China;2.Beijing Xirong Energy Storage Technology Co., Ltd., Beijing 102600, China;3.Zhenjiang Aimu Intelligent Technology Co., Ltd., Jiangsu Zhenjiang 212000, China)
关键词:
机器视觉; 边缘检测; 亚像素边缘; 图像处理
Keywords:
machine vision;  edge detection;  subpixel edge;  image processing
分类号:
TP23 TP29
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.007
文献标志码:
A
摘要:
针对碳毡装配过程中碳毡占位、边缘毛刺复杂，人工检测效率低、成本高、接触产生不良影响等问题，设计了一种基于机器视觉的碳毡装配检测算法系统。使用Python语言调用相机获取图像并进行预处理。随后，对图像应用改进的Sobel算子进行初步的边缘检测，获取边缘的粗略坐标信息。接着，采用改进的插值法亚像素边缘检测算法对这些粗略坐标进行细化，得到更精确的坐标信息。然后，利用最小二乘法对这些精确坐标进行直线拟合，得到图像中的四个角点。最终，通过对这些角点的位置关系进行判断和分析。实验结果表明，本系统可以稳定进行碳毡转配检测，具有一定的鲁棒性。
Abstract:
A machine vision-based carbon felt assembly detection algorithm system was designed to address issues in the assembly process, such as carbon felt misplacement and complex edge burrs. Manual inspection was found to be inefficient, costly, and prone to undesirable contact effects. The system utilizes Python to interface with a camera for image acquisition and preprocessing. Subsequently, an enhanced Sobel operator is applied to perform initial edge detection, obtaining approximate edge coordinates. Then, a refined interpolation-based sub-pixel edge detection algorithm is employed to enhance the accuracy of the coordinates. Following this, the least squares method is utilized to fit precise coordinates, thereby identifying the four corner points in the image. Finally, the positions of these corner points are analyzed to make determinations. Experimental results demonstrate that this system can consistently conduct carbon felt assembly detection with a certain level of robustness.

参考文献/References:

[1]崔焱,彭可,杨玉娥,等.基于机器视觉的手机盖板表面缺陷检测系统设计[J].制造业自动化,2023,45(07):75-79+96.

[2]张炳星,高军伟,王建冲,等.基于机器视觉的圆形垫圈尺寸测量系统设计[J].工具技术,2023,57(07):141-145.
[3]丁统坤,和晓军.基于八方向Sobel算子的边缘检测系统设计[J].沈阳理工大学学报,2023,42(02):8-14.
[4]赵夫群.基于改进中值滤波的图像去噪算法[J].计算机与数字工程,2023,51(02):292-295+444.
[5]邹华东,林胜鹏,张志田,等.一种亚像素图像边缘检测算法及其在智能灌墨包装线上的应用[J].包装与食品机械,2022,40(03):93-99.
[6]陈金辉,赵雷振.密封橡胶圈毛刺缺陷检测方法的研究[J].电子设计工程,2012,20(12):129-131+139.
[7]张洪,周益华,吴静静.基于改进Canny和异常轮廓点搜索的密封圈毛刺检测系统设计[J].组合机床与自动化加工技术,2020(10):126-130.?/div>
[8]陈浩,黄勋,赵志明.一种基于改进Sobel算子的苹果图像边缘提取算法的研究[J].天津农业科学,2020,26(09):51-55.
[9]ZHOU R, LIU D. Quantum Image Edge Extraction Based on Improved Sobel Operator[J]. International Journal of Theoretical Physics,2019,58(9).
[10]王春普,文怀兴,王俊杰.基于机器视觉的大枣表面缺陷检测[J].食品与机械,2019,35(07):168-171.
[11]张棋,贾方秀,殷婷婷.基于改进Sobel算法的实时图像边缘检测系统设计[J].仪表技术与传感器,2018(02):101-104+108.
[12]王静,王海亮,向茂生,等.基于非极大值抑制的圆目标亚像素中心定位[J].仪器仪表学报,2012,33(07):1460-1468.
[13]LI Y, YOUNG Y T. Subpixel Edge Detection And Estimation With A Line Scan Camera[P]. Other Conferences,1987.
[14]TABATABAI A J , MITCHELL O R .Edge Location to Subpixel Values in Digital Imagery[J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2009, PAMI-6(2):188-201.
[15]NALWA V S , BINFORD T O .On detecting edges.[J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2009, PAMI-8(6):699-714.

相似文献/References:

[1]周小军,郭 佳,姜玉泉,等.红外图像几种边缘检测算法对比分析[J].工业仪表与自动化装置,2015,(04):58.
　ZHOU Xiaojun,GUO Jia,JIANG Yuquan,et al.Comparative study on several kinds of edge detection algorithm in infrared image[J].Industrial Instrumentation & Automation,2015,(02):58.
[2]陈宏希.一种基于统计排序滤波的图像边缘检测算法[J].工业仪表与自动化装置,2016,(01):3.
　CHEN Hongxi.An edge detection algorithm based on order-statistic filtering[J].Industrial Instrumentation & Automation,2016,(02):3.
[3]李志明.基于机器视觉的鲜枣群体大小检测算法[J].工业仪表与自动化装置,2016,(05):29.
　LI Zhiming.Fresh jujubes group size detection algorithm based on Machine Vision[J].Industrial Instrumentation & Automation,2016,(02):29.
[4]任晓芳,林 娟.六自由度机械手抓取系统的OPC通信技术研究[J].工业仪表与自动化装置,2017,(02):109.
　REN Xiaofang,LIN Juan.Research on OPC technology with fetching system of robot with six DOF[J].Industrial Instrumentation & Automation,2017,(02):109.
[5]魏元焜,吴丹阳.基于NI myRIO的机器视觉搬运车设计[J].工业仪表与自动化装置,2019,(05):53.[doi:1000-0682(2019)05-0000-00]
　WEI Yuankun,WU Danyang.Design of machine vision carrier vehicle based on NI myRIO[J].Industrial Instrumentation & Automation,2019,(02):53.[doi:1000-0682(2019)05-0000-00]
[6]黄金梭,沈正华,鲁文杰.基于机器视觉的微动开关正反面外观检测与分拣系统的设计与实现[J].工业仪表与自动化装置,2020,(03):121.[doi:1000-0682(2020)03-0000-00]
　HUANG Jinsuo,SHEN Zhenghua,LU Wenjie.Design and implementation of double face appearance inspection and sorting system of micro-switch based on machine vision[J].Industrial Instrumentation & Automation,2020,(02):121.[doi:1000-0682(2020)03-0000-00]
[7]张 恒,何文雪.基于机器视觉的坚果尺寸检测系统设计[J].工业仪表与自动化装置,2020,(06):52.[doi:1000-0682(2020)06-0000-00]
　ZHANG Heng,HE Wenxue.Design of nut size detection system based on machine vision[J].Industrial Instrumentation & Automation,2020,(02):52.[doi:1000-0682(2020)06-0000-00]
[8]陈 杰,王宏彦.基于视觉的汽车轮毂打磨实训系统设计[J].工业仪表与自动化装置,2021,(01):36.[doi:10.3969/j.issn.1000-0682.2021.01.008]
　CHEN Jie,WANG Hongyan.Design of practical training system of wheel hub grinding based on vision[J].Industrial Instrumentation & Automation,2021,(02):36.[doi:10.3969/j.issn.1000-0682.2021.01.008]
[9]董 杰,刘文峰,乔法起,等.基于SVM的井下水仓淤泥识别系统的研究[J].工业仪表与自动化装置,2021,(05):112.[doi:10.19950/j.cnki.cn61-1121/th.2021.05.024]
　DONG Jie,LIU Wenfeng,QIAO Faqi,et al.Research on sludge recognition system of underground water silo based on SVM[J].Industrial Instrumentation & Automation,2021,(02):112.[doi:10.19950/j.cnki.cn61-1121/th.2021.05.024]
[10]杨 利,谢永超*.基于PLC和机器视觉的工件自动分拣系统设计[J].工业仪表与自动化装置,2022,(01):48.[doi:10.19950/j.cnki.cn61-1121/th.2022.01.010]
　YANG Li,XIE Yongchao*.Design of automatic sorting system for workpieces based on PLC and machine machine vision[J].Industrial Instrumentation & Automation,2022,(02):48.[doi:10.19950/j.cnki.cn61-1121/th.2022.01.010]

备注/Memo

备注/Memo:
收稿日期：2023-11-07第一作者：冯雨（2000—），男，江苏泗阳人，南京工业大学硕士生，研究方向为机器视觉。
更新日期/Last Update: 1900-01-01