Image Reconstruction Enhancement Using Convolution Back Projection Method for Electrical Tomography Application

  • Jaysuman Pusppanathan Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia
  • Muhammad Saiful Badri Mansor Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia
  • Ruzairi Abdul Rahim Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Siti Zarina Mohd Muji Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Fatin Aliah Phang Abdullah Centre of Engineering Education (CEE), Universiti Teknologi Malaysia, 81300 Skudai Johor, Malaysia.
  • Nor Farahwahidah Abdul Rahman Faculty of Education, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mahdi Faramarzi Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia
Keywords: linear back projection, tomography, electrical capacitance, convolution back projection

Abstract

This paper presents an image enhancement technique using convolution back-projection (CBP) technique to overcome the blurry issue caused by linear back-projection (LBP) technique on tomographic images. The CBP technique is discussed and employed on four different types of stratified flow test profiles. The obtained image results are compared between LBP and CBP and further assessed using mutual structural similarity index (MSSIM). The enhancement technique has successfully scored MSSIM rating above 0.9 for all four test profiles whereby the rating is ranging from 0 (poor quality) to 1 (best quality).

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Published
31-12-2018
How to Cite
Pusppanathan, J., Mansor, M. S. B., Rahim, R. A., Mohd Muji, S. Z., Abdullah, F. A. P., Abdul Rahman, N. F., & Faramarzi, M. (2018). Image Reconstruction Enhancement Using Convolution Back Projection Method for Electrical Tomography Application. International Journal of Integrated Engineering, 10(8). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2188
Issue
Vol 10 No 8 (2018)
Section
Articles

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