Fusion of ERT Images Based on Dempster-Shafer＇s Evidence Theory

Fusion of ERT Images Based on Dempster-Shafer＇s Evidence Theory

In this paper, an electrical resistance tomography（ERT） imaging method is used as a classifier, and then the Dempster-Shafer＇s evidence theory with fuzzy clustering is integrated to improve the ERT image quality. The fuzzy clustering is applied to determining the key mass function, and dealing with...

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Veröffentlicht in:天津大学学报：英文版 2013, Vol.19 (6), p.404-412
1. Verfasser: 岳士弘 李跃峰 栗伟清 王化祥
Format: Artikel
Sprache:eng
Schlagworte:
ERT
图像融合算法
时间分辨率
模糊聚类
电阻层析成像
空间分辨率
证据理论
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container_title 天津大学学报：英文版
container_volume 19
creator 岳士弘 李跃峰 栗伟清 王化祥
description In this paper, an electrical resistance tomography（ERT） imaging method is used as a classifier, and then the Dempster-Shafer＇s evidence theory with fuzzy clustering is integrated to improve the ERT image quality. The fuzzy clustering is applied to determining the key mass function, and dealing with the uncertain, incomplete and inconsistent measured imaging data in ERT. The proposed method was applied to images with the same investigated object under eight typical current drive patterns. Experiments were performed on a group of simulations using COMSOL Multiphysics tool and measurements with a piece of porcine lung and a pair of porcine kidneys as test materials. Compared with any single drive pattern, the proposed method can provide images with a spatial resolution of about 10% higher, while the time resolution was almost the same.
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identifier ISSN: 1006-4982
ispartof 天津大学学报：英文版, 2013, Vol.19 (6), p.404-412
issn 1006-4982
1995-8196
language eng
recordid cdi_chongqing_primary_48072020
source SpringerNature Journals; Alma/SFX Local Collection
subjects ERT
图像融合算法
时间分辨率
模糊聚类
电阻层析成像
空间分辨率
证据理论
title Fusion of ERT Images Based on Dempster-Shafer＇s Evidence Theory
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