[1]陈宇,孙帆,张健,等.基于自适应权重粒子群的电容层析成像边界灰度补偿算法[J].哈尔滨理工大学学报,2010,(03):44-49.
 CHEN Yu,SUN Fan,ZHANG Jian.A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight[J].哈尔滨理工大学学报,2010,(03):44-49.
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基于自适应权重粒子群的电容层析成像边界灰度补偿算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2010年03期
页码:
44-49
栏目:
计算机与控制工程
出版日期:
2010-06-25

文章信息/Info

Title:
A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight
作者:
陈宇; 孙帆; 张健;
东北林业大学信息与计算机工程学院;
Author(s):
CHEN Yu; SUN Fan; ZHANG Jian
College of Information and Computer Engineering; Northeast Forestry University; Harbin 150040; China
关键词:
电容层析成像 图像重建 自适应粒子群
Keywords:
electrical capacitance tomography image reconstruction adaptive particle swarm
分类号:
TN27
文献标志码:
A
摘要:
电容层析成像图像重建是一个典型的病态问题,它的解是不稳定的.为了对这个不适定问题进行求解,在分析电容层析成像基本原理的基础上,提出了一种自适应权重粒子群的电容层析成像边界灰度补偿算法.该算法通过引入粒子群的平均绝对速度与理想速度,自适应调整粒子群优化算法中的参数,对成像后图像边界周围的灰度进行补偿.数值实验结果表明,同线性反投影和共轭梯度算法相比,进行边界灰度补偿后的图像兼备成像质量高、边界均匀稳定等优点,为ECT图像重建算法的研究提供了一个新思路.
Abstract:
Electrical capacitance tomography(ECT) image reconstruction is a typical problem,and its solution is unstable.In order to solve this ill-posed problem,in the analysis of the basic principles of electrical capacitance tomography,a novel gray boundary compensation algorithm for electrical capacitance tomography system based on adaptive particle swarm weight is presented.The algorithm,through the introduction of the average absolute speed and the ideal speed in particle swarm,adaptively adjusts the parameters ...

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备注/Memo

备注/Memo:
国家自然科学基金(60572153);; 高等学校博士学科点专项科研基金(2008-2011);; 黑龙江省自然科学基金(F200609);; 中央高校基本科研业务费专项资金资助(DL09AB02);; 东北林业大学大学生创新基金(091022559)
更新日期/Last Update: 2010-09-09