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基于蛇模型的管路三维重建方法

本站小编 Free考研考试/2021-12-21

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基于蛇模型的管路三维重建方法
Three Dimensional Reconstruction Method of Pipeline Based on Snake Model
投稿时间:2020-09-08
DOI:10.15918/j.tbit1001-0645.2020.141
中文关键词:蛇模型图像处理边缘提取视觉测量
English Keywords:snake modelimage processingedge extractionvisual measurement
基金项目:国家自然科学基金资助项目(51875044);国防基础科研基金资助项目(JCKY2017204B502)
作者单位E-mail
刘少丽北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081
张文雄北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081zhangwx958@163.com
吴天一北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081
刘检华北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081
王桢杰北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081
胡佳北京理工大学 机械与车辆学院, 数字化制造研究所, 北京 100081
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中文摘要:
针对航空航天中大量应用的管路高精度快速测量难题,提出了基于蛇模型的管路三维重建方法.该方法充分利用管路灰度图像边缘特征,借助阈值分割和高斯滤波消除图像噪声,先结合蛇模型获取精准的管路图像边缘,贪心算法进行迭代以保证收敛效率,利用极线约束原理得到二维管路中心线点云,然后根据视觉投影原理,重建管路三维模型,最后使用多目视觉系统拍摄的照片进行结果优化以保证重建精度.结果表明:该方法对管路的测量精度为±0.15 mm,简便高效,无需过多的人工操作.同时,实现了管路圆弧段弯曲半径的测量,满足工业应用需求.
English Summary:
Aiming at the difficult problem of high-precision and fast pipeline measurement applied in aerospace, a 3D pipeline reconstruction method was proposed based on snake model. Making full use of the edge features of the gray image of the pipeline and eliminating image noise by means of threshold segmentation and Gaussian filtering, the method was arranged firstly to combine the snake model to obtain accurate pipeline image edges, carry out iteration with the greedy algorithm to ensure convergence efficiency, and use the principle of Epipolar constraint to obtain a two-dimensional pipeline centerline point cloud. And then, a three-dimensional model of pipeline was reconstructed based on the principle of visual projection. Finally, the designed results were optimized to ensure the reconstruction accuracy according to the photos taken by the multi-eye vision system. The results show that the measurement accuracy of the method for pipelines can reach ±0.15 mm, the measurement process is simple and efficient without more operators. The new method can measure the bending radius of the pipeline arc section, adapting industrial applications.
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