YAO Yu-mei, CHE De-yun, Ll Jia-nan, et al. Image Fusion Method Based on Multi Wavelet Transform for Electrical Capacitance Tomography[J]. 2014, 19(5): 88-92.
DOI:
YAO Yu-mei, CHE De-yun, Ll Jia-nan, et al. Image Fusion Method Based on Multi Wavelet Transform for Electrical Capacitance Tomography[J]. 2014, 19(5): 88-92.DOI: 10.15938/j.jhust.2014.05.019.
Image Fusion Method Based on Multi Wavelet Transform for Electrical Capacitance Tomography
On the basis of analyzing ECT basic principle and imaging algorithm,based on the characteristic offilter LBP and neural network RBF,an image fusion method based on multiwavelet transform is proposed about theeffect of“soft-field" nature and ill一posed problem on thereconstructed image accuracy. This method first appliesmultiwavelet to decompose the reconstructed images,then fuses the images through the integration of low frequencycoefficients and high frequency coefficients based on fusion rules of maxinum and regional gradient. Finally,thefused image is reconstructed by multiwavelet. The simulation results show that image accuracy significantly improvedand removed redundant information after integration. This study provided a new method on ECT image reconstruction to make image closer to the prototype.
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WANG Li-li
SHEN Yue
CHEN De-yun
YU Xiao-yang
LIU Hong-bo
ZHOU Yu-jia
LI Hong-bo
XIA Zong-ji
Related Institution
Harbin University of Science and Technology, School of Computer Science and Technology
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Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology