Image Fusion for Electrodynamics and Optical Dual Mode Tomography System
DOI:
https://doi.org/10.11113/jt.v73.4241Keywords:
Image fusion, discrete wavelet transform, principal component analysis, dual mode tomographyAbstract
In this paper, a novel fuzzy fusion method is proposed to combine the images obtained from dual modality (optical and electrodynamics) tomography sensors. The fuzzy rules designed are based on the features of each single mode sensor. Furthermore, the outcome of the proposed method is compared with the two mostly common image fusion methods; principal component analysis (PCA) and discrete wavelet transform (DWT). The fused image results of half flow and full flow solid/gas laboratory phantoms are presented in this paper. Matlab software was used to visualize and analyze the combined images. The results show that the proposed method has produces superior improvement in the quality of fused image for optical and electrodynamics dual mode tomography applications in the case of solid/gas flow.
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