ECT Image Fusion Based on PCA Transform and Wavelet Transform
Because the accuracy of image reconstruction in electrical capacitance tomography (ECT) technology is impacted by the soft-field nature and ill-posed problem,on the basis of analyzing ECT basic principle and imaging algorithm,an image fusion method based on PCA transform and wavelet transform is proposed.Firstly,the pending fusion image P1 is transformed with PCA,and principal components are obtained,then,fuse the information of pending fusion image P2 and the first principal component with the fusion method based on characteristic wavelet transform,then the present fused information and other main components are transformed with inverse PCA,and the final fused image is obtained.The simulation results show that image accuracy significantly improved and removed redundant information after integration.This study provided a new method on ECT image reconstruction to make image closer to the prototype.
electrical capacitance tomography image reconstruction image fusion principal component analysis(PCA) transform wavelet transform
Wang Lili Shen Yue Chen Deyun Yu Xiaoyang
Harbin University of Science and Technology Instrument Science and Technology Postdoctoral Workstati Harbin University of Science and Technology School of Computer Science and Technology Harbin, China Harbin University of Science and Technology Instrument Science and Technology Postdoctoral Workstati
国际会议
秦皇岛
英文
1188-1192
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）