摘要
超声层析成像由X射线层析成像技术引申而来,用这种成像方法可获得声速、声衰减系数、声散射系数及非线性参量等的定量图像。基于此理论,本文提出了一套烟气超声层析成像装置。系统通过上位机控制步进电机与超声波发射/接收单元,实现了自动化装置校准、数据采集、信号调理和图像重建过程。在传统线阵式检测阵列的基础上,创新了环绕式探头的布置方法,使得图像重建时获得的走时数和超声波数目大大增加,提高了测量的精确性。选择SIRT算法进行图像重建,根据最速下降原理对SIRT算法进行优化,通过对重构图像的对比,发现优化以后的SIRT算法重建图像质量更好,重建速度更快。
Ultrasonic tomography is an extension of X-ray tomography.With this method,quantitative images of sound velocity,sound attenuation coefficient,acoustic scattering coefficient and nonlinear parameters can be obtained.Based on this theory,a set of ultrasonic tomography equipment for flue gas is proposed in this paper.The system controls the stepper motor and the ultrasonic transmitting/receiving unit by the upper computer to realize the process of automatic device calibration,data acquisition,signal conditioning and image reconstruction.On the basis of traditional linear array detection array,the layout method of surround probe is innovated,which greatly increases the travel time and ultrasonic number obtained during image reconstruction,and improves the measurement accuracy.SIRT algorithm is selected for image reconstruction.Based on the fixed step size SIRT algorithm,the SIRT algorithm is optimized according to the steepest descent principle.By comparing the reconstructed images,it is found that the optimized SIRT algorithm has better reconstructed image quality and faster reconstruction speed.
作者
白海龙
李保生
王新飞
BAI Hailong;LI Baosheng;WANG Xinfei(School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《智能计算机与应用》
2020年第7期194-198,共5页
Intelligent Computer and Applications
关键词
超声层析
信号调理
环绕式
最速下降
Ultrasonic tomography
Signal conditioning
Surround
Steepest descent
作者简介
白海龙(1994-),男,硕士研究生,主要研究方向:机器视觉与光电检测技术。
