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Clustering-based Electrical Image Reconstruction Algorithms and Applications

Author: ZhangKai
Tutor: YueShiHong
School: Tianjin University
Course: Pattern Recognition and Intelligent Systems
Keywords: Image Reconstruction Electrical chromatography Clustering algorithm Data Fusion
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 46
Quote: 2
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Abstract


Electrical tomography technique developed in recent years (Electrical Tomography, referred ET) has made some progress in terms of two-phase flow / multiphase flow, flow parameters distribution measurement, has become an effective means to solve the two-phase flow parameters detection has great potential and broad prospects for industrial applications. The electrical tomography technology ET (Electrical Tomography, ET) is currently one of the most widely used research process tomography technology, it has the advantages of low system cost, speed imaging for a wide range of non-invasive, the PT The great advantage. Thus, electrical tomography technology has become a research focus. However, ET technology has made great progress, but the accuracy and speed of image reconstruction has not been much progress. Many researchers have made unremitting efforts in order to obtain a better image quality and faster imaging speed, image reconstruction algorithms, such as back-projection method, Landweber iterative method, but these algorithms have different applicable occasions and limitations. Tomography reconstruction algorithm image imaging accuracy is lower and slower, based on the fuzzy clustering algorithm, we put forward a new image reconstruction algorithm originality. With existing imaging algorithm is different, we put the acquired information of the different sensors and orderly manner is mapped to a vector space clustering analysis. In the same time, through the feature grouping weighted full consideration metric between features disproportion better describes the effect of differences of the different features in the data. Experimental results show that our proposed algorithm can fully utilize the existing information, and to get a better image reconstruction effect. Further, our proposed algorithm is simple to implement, low computational complexity, real-time, dynamic update of the calculation results provide a new means for image reconstruction techniques. Finally, and from the perspective of data fusion done preliminary studies of ERT and ECT image fusion. Powerful simulation capabilities for the the Comsol software in our application Comsol developed electromagnetic aspects of its simulation of the experimental data we need. On the one hand you can completely ideal, On the other hand, for our new algorithm, the data fully apply idealized conducive to the validation of the effectiveness of the algorithm and algorithm development.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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