Fuzzy Clustering based Fusion For ERT Tomography Image
Electrical resistance tomography (ERT) techniques have been developed rapidly during the past decades as an advanced measurement and visualization tool. Single drive pattern in ERT could provide an acceptable solution in some applications, while for most complex applications additional information is required for comprehensive understanding of the process under investigation. Recently, individual driven system has been studied for various measurements, but there are poor sensor integration and data fusion approaches in practice. In this paper, any ERT imaging method is considered as a classifier, and then a fuzzy clustering based fusion method has been developed to fuse these classifiers towards better ERT image quality. This proposed method is applied to image the same investigated objectives under eight typical current drive patterns. Simulations show that the proposed method can provide image of higher space resolution than any individual drive pattern.
Image fusion Electrical resistance tomographyCurrent drive pattern
Shihong Yue Weiqin Li Xian Zhao Ziqiang Cui Huaxiang Wang
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Process Measurement and Control,Tianjin University, Tianjin300072, China
国际会议
The 7th International Symposium on Measurement Techniques for Multiphase Flows(第七届国际多相流测试技术会议)
天津
英文
359-364
2011-09-17（万方平台首次上网日期，不代表论文的发表时间）