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微小随机变化焊缝的视觉特征提取

陈海永, 杜晓琳, 董砚

陈海永, 杜晓琳, 董砚. 微小随机变化焊缝的视觉特征提取[J]. 焊接学报, 2016, 37(5): 97-101.
引用本文: 陈海永, 杜晓琳, 董砚. 微小随机变化焊缝的视觉特征提取[J]. 焊接学报, 2016, 37(5): 97-101.
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CHEN Haiyong, DU Xiaolin, DONG Yan. Tiny visual feature extraction of random changing weld[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(5): 97-101.
Citation: CHEN Haiyong, DU Xiaolin, DONG Yan. Tiny visual feature extraction of random changing weld[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(5): 97-101.
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微小随机变化焊缝的视觉特征提取

  • 河北工业大学控制科学与工程学院, 天津 300130

基金项目: 河北省高等学校科学技术研究资助项目(YQ2013036),国家自然科学基金资助项目(61203275),河北省自然科学基金资助项目(F2014202071),河北省首批青年拔尖人才支持计划,天津市科技特派员资助项目(15JCTPJC55500)

Tiny visual feature extraction of random changing weld

  • Hebei University of Technology, School of Control Science and Engineering, 300130, China

摘要

    摘要
  • 摘要: 针对焊接过程中薄钢板搭接微小焊缝随机变化的特点,提出一种基于图像能量分布的视觉特征检测和提取方法,采用伪彩色图像增强算法得到能量分布,有效地抑制了焊接过程中飞溅、烟雾等能量弱的瞬时噪声. 接着提出一种差分搜索算法实现了结构光条纹骨架的准确提取,并获得了图像特征点. 然后,利用随机抽样一致算法对图像特征历史数据进行概率分析,进而精确地拟合出焊缝特征的局部模型,实现了焊缝特征点的准确预测. 结果表明,提出的方法是有效的,焊缝视觉特征提取的效果令人满意.
    Abstract: To random variation characteristics of the welding process of thin steel lap weld,Proposing a methods based on the energy distribution of the visual featuresdetection and extraction,Using pseudo-color enhancement algorithms to get energy distribution, Effectively suppressed splash, smoke, noise and other transient weak energy during welding.Then proposing a differential search algorithm to achieve the accurate extraction of structured light stripe skeleton,gaining the image feature points.Then using a random sample consensus algorithm to analysis probabilistic of image feature historical data,Thus achiving accurately fitted local model of weld features, fulfiling accurate prediction of feature points. Experimental results show that the proposed method is effective and weld visual feature extraction satisfactory.
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    • 参考文献(13)
  • [1] Iakovou D, Aarts R G, Meijer K M. Integrated sensors for robotic laser welding[J]. International Journal of Human Resources Development and Management, 2005, 1: 1-6.
    [2] Abt F, Heider A, Weber R, et al. Camera based closed loop control for partial penetration welding of overlap joints[J]. Physics Procedia, 2011, 12(1): 730-738.
    [3] Zhang J, Walcott B L. Adaptive interval model control of arc welding process[J]. IEEE Transactions on Control Systems Technology, 2006, 14(6): 1127-1134.
    [4] Dinham M, Fang G. Low cost simultaneous calibration of a stereo vision system and a welding robot[C]//2010 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2010, 1452-1456.
    [5] 陈希章, 陈善本. 焊缝三维信息计算精度分析及试验方法[J]. 焊接学报, 2009, 30(3): 45-49. Chen Xizhang, Chen Shanben. Accuracy analysis and test methods of weld three-dimensional information[J]. Transactions of the China Welding Institution, 2009, 30(3): 45-49.
    [6] 高向东, 江良征, 龙观富. 强弧光反射环境下频域滤波的熔宽特征提取[J]. 焊接学报, 2013, 34(8): 5-8. Gao Xiangdong, Jiang Liangzheng, Long Guanfu. Weld width feature extraction by frequency domain filtering under strong reflex arc environment[J]. Transactions of the China Welding Institution, 2013, 34(8): 5-8.
    [7] 邹怡蓉, 都 东, 曾锦乐, 等. 基于多视觉特征获取与信息融合的焊道识别方法[J]. 焊接学报, 2013, 34(5): 33-36. Zou Yirong, Du Dong, Zeng Jinle, et al. Weld identification method based on multi-access visual features and information fusion[J]. Transactions of the China Welding Institution, 2013, 34(5): 33-36.
    [8] 焦向东, 黄松涛, 周灿丰, 等. 海底管道干式高压焊接跟踪轨迹的识别[J]. 焊接学报, 2007, 28(1): 1-4. Jiao Xiangdong, Huang Songtao, Zhou Canfeng, et al. Hyperbaric welding identify and trajectory tracking of submarine pipelines[J]. Transactions of the China Welding Institution, 2007, 28(1): 1-4.
    [9] 李 原, 徐 德, 沈 扬, 等. 一种焊缝结构光图像处理与特征提取方法[J]. 焊接学报, 2006, 27(9): 25-31. Li Yuan, Xu De, Shen Yang, et al. An image processing and fea-tures extraction methods for structured light image of welding seam [J]. Transactions of the China Welding Institution, 2006, 27(9): 25-31.
    [10] 刘明友, 刘南生, 郭昌荣, 等. 基于结构光视觉传感的焊缝视觉信息检测和识别研究[J]. 焊接, 2007, 1: 28-31. Liu Mingyou, Liu Nansheng, Guo Changrong, et al. Weld detecting by vision sensing and identification based on structured light vision[J]. Welding, 2007, 1: 28-31.
    [11] 伏喜斌, 林三宝, 杨春利, 等. 基于激光视觉传感的角焊缝外形尺寸检测[J]. 焊接学报, 2008, 29(7): 47-50. Fu Xibin, Lin Sanbao, Yang Chunli, et al. Detection of the dimensions of fillet weld based on laser vision sensing[J]. Transactions of the China Welding Institution, 2008, 29(7): 47-50.
    [12] 董增寿, 张凤春. 基于 OSTU 炉膛火焰图像分割建模[J]. 微计算机信息, 2010, 26(17): 201-203. Dong Zengshou, Zhang Fengchun. Modeling on furnace flame image segmentation based on OSTU[J]. Microcomputer Information, 2010, 26(17): 201-203.
    [13] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981, 24(6): 381-395.
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  • 收稿日期:  2014-05-13

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