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 is transformed with PCA, and principal components are obtained, then, fuse the information of pending fusion image 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.