文章基本信息

标题：Image Fusion Method Based on Edge Feature Detection in Electrical Capacitance Tomography
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作者：Chen Deyun ; Gao Ming ; Song Lei 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：1
页码：267-274
DOI：10.14257/ijsip.2014.7.1.25
出版社：SERSC
摘要："Soft-field" nature and ill-posed problems to influence on the accuracy of image reconstruction in electrical capacitance tomography technology (ECT), in the analysis of ECT basic principle and imaging algorithm, a novel image fusion method based on edge feature detection using the feature of different frequency domains of wavelet decomposition is presented in this paper. The LBP algorithm and Landweber algorithm are used as the base of image reconstruction in the paper, the fusion rules based on the combination of Local gradient and local signal strength and the weighted averaging operator are used to fuse the high-frequency coefficients and low-frequency coefficients of the fused image, in this way , higher accuracy imaging results can be got. The simulation results show that the image fusion accuracy is improved, and reconstruction image effect is enhanced.
关键词：Electrical Capacitance Tomography; image reconstruction; image fusion; local ; gradient; signal strength