• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 图形与图像 • 上一篇    下一篇

X射线图像三维重建的自标定优化算法

张伯麟1,刘荣海2,郑欣2,杨迎春2,陈磊1,万书亭1   

  1. (1.华北电力大学能源动力与机械工程学院,河北 保定 071003;2.云南电网有限责任公司电力科学研究院,云南 昆明 650000)
     
     
  • 收稿日期:2018-08-28 修回日期:2019-01-21 出版日期:2019-08-25 发布日期:2019-08-25

An self-calibration optimization algorithm
 for 3D reconstruction of X-ray images

ZHANG Bo-lin1,LIU Rong-hai2,ZHENG Xin2,YANG Ying-chun2,CHEN Lei1,WAN Shu-ting1   

  1.  (1.School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071003;
    2.Electricity Science Research Institute of Yunnan Power Grid Company Limited,Kunming 650000,China)
     
  • Received:2018-08-28 Revised:2019-01-21 Online:2019-08-25 Published:2019-08-25

摘要:

根据X射线图像成像特点,提出一种适用于X射线图像三维重建的自标定算法。首先基于SIFT算法得到相邻2幅X射线图像对应轮廓特征匹配关系;然后根据匹配关系计算得到基础矩阵;接着根据基础矩阵估计X射线无损检测设备内参数初值;最后基于改进Kruppa方程优化内参数,得到X射线图像三维重建自标定内参数。根据优化前后的内参数建立的电力金具三维模型,从形状和关键尺寸误差2方面进行对比,结果表明优化后的内参数具有较高的精度和可靠性。
 

关键词:

Abstract:

According to the imaging characteristics of X-ray images, we propose a self-calibration method for 3D reconstruction of X-ray images. Firstly, the matching relationship of profiles between two adjacent X-ray images is obtained by using the SIFT algorithm. Then, the fundamental matrix is achieved by calculation according to the matching relationship. Thirdly, the initial values of the intrinsic parameters of the X-ray non-destructive testing equipment are estimated by using the fundamental matrix. Finally, the intrinsic parameters are optimized based on the improved Kruppa equation, and the intrinsic self-calibration parameters of the 3D reconstruction of the X-ray image are obtained. According to the intrinsic parameters before and after optimization, the 3D models are established. Comparative experiments are carried out from two aspects: shape and key dimension error, which proves that the optimized intrinsic parameters have higher precision and reliability.

Key words: self-calibration , optimization algorithm;X-ray image;intrinsic parameter;SIFT;3D reconstruction