微细管道内壁缺陷检测误差自动校正仿真

针对传统方法存在管道内壁缺陷检测误差校正率较低、校正时间过长等问题，提出微细管道内壁缺陷检测误差自动校正方法。该方法获取管道内壁全景图，对管道内壁全景图进行展开、预处理，并提取管道病害区域的集合特征，引入查询误差校正表以及结合双线性插值对特征值进行求解，获取微细管道内壁缺陷检测误差。同时，其通过投影不变性原理以及相关的几何特征，计算误差直线的斜率，利用该直线的斜率求解线性方程组得到校正参数，通过校正参数完成误差校正。实验验证可知，所提方法能够有效提高管道内壁缺陷检测误差校正率，减少误差校正时间。

Automatic correction simulation of defect detection error of inner wall of micro-pipe

Aiming at the problems that the traditional method has low correction rate of pipeline inner wall defect detection error and too long correction time, this paper proposed an automatic correction method for defect detection of inner wall defects of micro-pipeline. Firstly, this method obtained a panoramic view of pipeline inner wall, then unfolded and preprocessed the panoramic view, and extracted the collection features of the pipeline disease area. Finally, this method introduced a query error correction table and solved the eigenvalues by combining the bilinear difference to obtain the defect detection error of the micro pipeline inner wall. By utilizing the principle of projection invariance and related geometric features, it calculated the slope of the error line, solved the linear equations by the slope of the line to obtain the correction parameters, and completed the error correction by the correction parameters. The experimental results show that the proposed method can effectively improve the correction rate of the inner wall defect detection error and reduce the error correction time compared with traditional methods.