邱泽昊,孙宁,张程琳,桑文闯,方勇纯

• 1:南开大学人工智能学院机器人与信息自动化研究所
• 2:南开大学深圳研究院智能技术与机器人系统研究院

摘要(Abstract)：

为实现有色金属铸锭的智能磨削,需设计视觉检测算法为机械臂提供金属锭的位置信息。然而,模具中随铸锭生产线移动的金属锭存在背景干扰和位置持续变化的复杂情形,这对视觉检测提出了高准确度、强鲁棒性的要求。本文基于一种代表性的有色金属铸锭,对其铸锭图像进行分析,使用边缘线段检测获取金属锭的边缘信息。随后,根据边缘线段的位置和长度筛选出有效的边缘特征。此外,为提取金属锭的轮廓角点,本文通过检测筛选后的边缘线段得到基础轮廓并进一步拟合为准确的金属锭轮廓。最后,实验结果验证了所提金属铸锭检测算法对不同金属锭图像具有良好的准确性和鲁棒性。

关键词(KeyWords)： 视觉检测;轮廓角点提取;有色金属铸锭

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2018YFB1309000)

作者(Author): 邱泽昊,孙宁,张程琳,桑文闯,方勇纯

DOI: 10.16453/j.cnki.ISSN2096-5036.2022.03.007

参考文献(References)：

• [1]Zhang Z,Xu D,Tan M.Visual measurement and prediction of ball trajectory for table tennis robot[J].IEEE Transactions on Instrumentation and Measurement,2010,59(12):3195-3205.
• [2]Sun M,Xiao J,Lim E G,et al.Fast template matching and update for video object tracking and segmentation[C]//2020 IEEE/CVFConference on Computer Vision and Pattern Recognition (CVPR).IEEE,2020:10791-10799.
• [3]卢翔,刘景泰,于凯妍,等.面向竞争型网络机器人的运动目标快速检测[J].机器人,2011,33(6):658-665+672.
• [4]Qiu Z,Sun N,Zhang C,et al.Visual detection for non-ferrous metal ingots with wavelet denoising and contour corner extraction[C]//2022 7th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS).Accepted.
• [5]Zhang H,Jin X,Wu Q M J,et al.Automatic visual detection system of railway surface defects with curvature filter and improved Gaussian mixture model[J].IEEE Transactions on Instrumentation and Measurement,2018,67(7):1593-1608.
• [6]Hou C,Qiao T,Zhang H,et al.Multispectral visual detection method for conveyor belt longitudinal tear[J].Measurement,2019,143:246-257.
• [7]Sun J,Li C,Wu X J,et al.An effective method of weld defect detection and classification based on machine vision[J].IEEETransactions on Industrial Informatics,2019,15(12):6322-6333.
• [8]李力,王耀南,陈铁健.大尺寸LCD玻璃基板多视觉缺陷检测系统研究[J].控制工程,2016,23(2):222-226.
• [9]Tsai D M,Huang C K.Defect detection in electronic surfaces using template-based Fourier image reconstruction[J].IEEETransactions on Components,Packaging and Manufacturing Technology,2019,9(1):163-172.
• [10]Zhou X,Wang Y,Xiao C,et al.Automated visual inspection of glass bottle bottom with saliency detection and template matching[J].IEEE Transactions on Instrumentation and Measurement,2019,68(11):4253-4267.
• [11]Liu C,Huynh D Q,Sun Y,et al.A vision-based pipeline for vehicle counting,speed estimation,and classification[J].IEEETransactions on Intelligent Transportation Systems,2021,22(12):7547-7560.
• [12]黄伟杰,张希,赵柏暄,等.基于视觉的停车场车位检测与分类算法[J].计算机系统应用,2022,31(3):234-240.
• [13]Hsu Q C,Ngo N V,Ni R H.Development of a faster classification system for metal parts using machine vision under different lighting environments[J].The International Journal of Advanced Manufacturing Technology,2019,100(9):3219-3235.
• [14]张学武,吕艳云,丁燕琼,等.小波统计法的表面缺陷检测方法[J].控制理论与应用,2010,27(10):1331-1336.
• [15]Liu J,Fan Z,Olsen S I,et al.Boosting active contours for weld pool visual tracking in automatic arc welding[J].IEEETransactions on Automation Science and Engineering,2017,14(2):1096-1108.
• [16]Furferi R,Governi L,Puggelli L,et al.Machine vision system for counting small metal parts in electro-deposition industry[J].Applied Sciences,2019,9(12):2418.
• [17]Wan G,Wang G,Xing K,et al.6DOF object positioning and grasping approach for industrial robots based on boundary point cloud features[J].Mathematical Problems in Engineering,2020,2020:9279345.
• [18]Chen Z,Li Y,Chen X,et al.Edge and texture detection of metal image under high temperature and dynamic solidification condition[J].Journal of Central South University,2018,25(6):1501-1512.
• [19]Lu X,Yao J,Li K,et al.Cannylines:A parameter-free line segment detector[C]//2015 IEEE International Conference on Image Processing (ICIP).IEEE,2015:507-511.
• [20]Mc Ilhagga W.The Canny edge detector revisited[J].International Journal of Computer Vision,2011,91(3):251-261.
• [21]Tang X,Wang X,Hou J,et al.An improved sobel face gray image edge detection algorithm[C]//2020 39th Chinese Control Conference.IEEE,2020:6639-6643.
• [22]李姗姗,陈莉,张永新,等.结合四元数与最小核值相似区的边缘检测[J].中国图象图形学报,2017,22(7):915-925.
• [23]Suzuki S.Topological structural analysis of digitized binary images by border following[J].Computer Vision,Graphics,and Image Processing,1985,30(1):32-46.