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

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).

[1]  Mariani Idroas,et al.  Design and development of a CCD based optical tomography measuring system for particle sizing identification , 2011 .

[2]  Ø. Isaksen,et al.  A review of reconstruction techniques for capacitance tomography , 1996 .

[3]  Saba Mylvaganam,et al.  Comparison of Different Measurement Protocols in Electrical Capacitance Tomography Using Simulations , 2007, IEEE Transactions on Instrumentation and Measurement.

[4]  Yuchun Fang,et al.  Fusion of mSSIM and SVM for Reduced-Reference Facial Image Quality Assessment , 2012, CCBR.

[5]  Ruzairi Abdul Rahim,et al.  Hardware Development of Electrical Capacitance Tomography (ECT) System with Capacitance Sensor for Liquid Measurements , 2015 .

[6]  Fatin Aliah Phang,et al.  Single-Plane Dual-Modality Tomography for Multiphase Flow Imaging by Integrating Electrical Capacitance and Ultrasonic Sensors , 2017, IEEE Sensors Journal.

[7]  Fatin Aliah Phang,et al.  3D MODELLING OF ELECTRICAL CAPACITANCE AND ULTRASONIC SENSOR INTEGRATION USING FINITE ELEMENT METHOD , 2015 .

[8]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[9]  Fazlul Rahman Mohd Yunus,et al.  Sensitivity map generation for conducting strategy in electrical resistance tomography , 2015 .

[10]  Zhong Qu.  The convolution back projection algorithm based on windows function , 2005, 2005 IEEE International Conference on Granular Computing.

[11]  Mohd Amri Md Yunus,et al.  Image Reconstruction Methods for Ultrasonic Transmission Mode Tomography in Bubbly Flow Regime , 2014 .

[12]  A. Trisnobudi,et al.  Summation convolution filtered back projection and algebraic reconstruction technique for ring array ultrasound tomography based on time of flight , 2011, 2011 2nd International Conference on Instrumentation Control and Automation.

[13]  Ruzairi Abdul Rahim,et al.  Electrical capacitance tomography: a review on portable ECT system and hardware design , 2016 .

[14]  P. Wanga,et al.  An image reconstruction algorithm for electrical capacitance tomography based on simulated annealing particle swarm optimization , 2015 .