摘要
针对大型工件视觉在线检测存在的技术难题,提出一种基于双目视觉特征点匹配的图像拼接方法。基于改进的尺度不变特征变换算法对特征点进行检测和匹配,采用随机抽样一致算法估计变换模型的参数以消除误匹配点,采用加权平滑融合法对拼接后的痕迹进行融合以完成图像拼接融合。搭建柔性视觉检测系统平台并开展工件特征区域的检测实验,将实验数据与工件特征区域的实际值进行对比,验证该拼接方法的正确性和有效性。实验结果表明,所提方法满足实际工业生产中利用双目视觉系统快速图像拼接的要求。
Aiming at the technical difficulties of the visual online inspection of large workpieces,an image mosaic method based on binocular vision feature point matching is proposed.Feature points are detected and matched based on an improved scale-invariant feature transform algorithm.A random sampling consensus algorithm is used to estimate the parameters of the transformation model to eliminate mismatched points,and a weighted smooth fusion method is used to fuse the spliced traces to complete the image splicing and fusion.The flexible visual detection system platform is built and the detection experiment of the workpiece feature area is carried out.The experimental datas are compared with the actual value of the workpiece feature area to verify the correctness and effectiveness of the mosaic method.Experimental results show that the proposed method meets the requirements of fast image stitching using a binocular-vision system in actual industrial production.
作者
王才东
刘丰阳
李志航
陈志宏
程岩
郑华栋
Wang Caidong;Liu Fengyang;Li Zhihang;Chen Zhihong;Cheng Yan;Zheng Huadong(College of Mechanical and Electrical Engineering,Zhengzhou University of Light Industry,Zhengzhou,Henan450002,China;Zhengzhou Kehui Technology Co.,Ltd.,Zhengzhou,Henan450001,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2021年第12期341-349,共9页
Laser & Optoelectronics Progress
基金
河南省高等学校重点科研项目(17A460029)
河南省机械装备智能制造重点实验室开放基金(IM201806)。
关键词
成像系统
双目视觉
图像检测
图像拼接
特征点
imaging systems
binocular vision
image detection
image mosaic
feature point
