A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight
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A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight
Vol. 15, Issue 3, Pages: 44-49(2010)
作者机构:
东北林业大学信息与计算机工程学院
作者简介:
基金信息:
DOI:
CLC:TN27
Published:2010
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CHEN Yu, SUN Fan, ZHANG Jian. A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight[J]. 2010, 15(3): 44-49.
DOI:
CHEN Yu, SUN Fan, ZHANG Jian. A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight[J]. 2010, 15(3): 44-49.DOI:
A Novel Gray Boundary Compensation Algorithm for Electrical Capacitance Tomography System Based on Adaptive Particle Swarm Weight
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