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| Research on Multi-weights Normalization Method |
| HE Shi-jun1,ZHANG Ting1,HE Hai-yang2,CHENG Xiao-long1,ZHOU Yuan-yuan1 |
1. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
2. School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
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Abstract A new multi-weights normalization method based on the parallel normalization model is presented, and it considered the influences of the capacitances when the sensor is full of deference permittivity materials for the measured capacitance. The multi-weights model is suitable for two or more phase flow. The experimental results show that the RMSE of the image reconstruction accuracy based on the multi-weights model is 0.0044, better than that of parallel normalization model which is 0.0322 when more than two kinds of medium in the image reconstruction, so the multi-weights model can improve the image reconstruction accuracy effectively. Through the analysis of the reconstruction image show that it also can improve the sensitivity of the center field and reduce the imaging errors, which greatly improving the quality of reconstruction.
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Received: 14 December 2015
Published: 19 April 2017
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Corresponding Authors:
Shi-Jun He
E-mail: sjhe@shou.edu.cn
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2017, Vol. 38 
