改进敏感场的电容层析成像图像重建算法  

Image reconstruction algorithm based on updated sensitivity field for ECT

作　　者：赵进创[1] 刘金花[1] 黎志刚[1] 傅文利[1] 李贤宇[1] 

机构地区：[1]广西大学计算机与电子信息学院,南宁530004

出　　处：《计算机工程与应用》2012年第4期167-169,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60762001);广西高等学校优秀人才计划(No.桂教人才0804)

摘　　要：针对电容层析成像系统中敏感场的"软场"特性,提出了一种基于成像敏感场灵敏度均值滤波的Landweber图像重建算法。该算法是通过模板卷积的方式对敏感场灵敏度进行邻域平均,降低靠近极板区域的灵敏度,提高管道中心区域的灵敏度,部分消除了因敏感场不均匀对图像重建质量的影响,提高图像重建精度。仿真结果表明,该算法在图像重建精度和收敛速度上均优于传统的Landweber图像重建算法。The Landweber image reconstruction algorithm based on imaging sensitive field mean filtering method is proposed to solve the so-called ＂soft-field＂ characteristic problem of sensitive field of Electrical Capacitance Tomography（ECT） system. The algorithm principle is that the neighborhood pixel sensitivity is averaged by template convoluting method, which can reduce the sensitivity of region near electrodes and improve that of central region of pipe. The algorithm can eliminate partly the effect on the quality of image reconstruction due to uneven sensitivity and improve image reconstruction accuracy. Simulation results indicate that the algorithm is superior to conventional Landweber algorithm in image reconstruction accuracy and convergence speed.

关 键 词：电容层析成像 Landweber图像重建算法 灵敏度 均值滤波 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]