Author/Authors :
Nor Ayob, Nor Muzakkir Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Control and Instrumentation Engineering Department, Process Tomography Research Group (PROTOM), Malaysia , Rahiman, Mohd Hafiz Fazalul Universiti Malaysia Perlis, Ulu Pauh Campus - School of Mecatronics Engineering - Tomography Imaging Research Group, Malaysia , Zakaria, Zulkarnay Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Control and InstrumentationEngineering Department, Process Tomography Research Group (PROTOM), Malaysia , Abdul Rahim, Ruzairi Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Control and InstrumentationEngineering Department, Process Tomography Research Group (PROTOM), Malaysia , Yaacob, Sazali Universiti Malaysia Perlis, Ulu Pauh Campus - School of Mecatronics Engineering - Tomography Imaging Research Group, Malaysia
Abstract :
Image reconstruction software and its image reconstruction algorithm are an important step towards constructing a tomography system. In this paper, description on the introduction of an image reconstruction algorithm for two-phase ultrasonic tomography system is presented. The algorithm, termed as the Eminent Pixel Reconstruction (EPR) algorithm is derived based on the basic Linear Back Projection (LBP) algorithm. This new image reconstruction algorithm successfully highlights high intensity pixels from the surrounding pixels in the cross-section image. The EPR algorithm are then combined with the useful Median Filter which helps eliminate the unrepresentative pixels resulting in reduced noise on the final reconstructed image. The algorithm is also deem as a preferable choice other than the LBP algorithm since like the LBP, EPR is also a straightforward imaging method with higher success of reconstructing the component distribution and provides more accurate statistical estimation capability on the two-phase distribution.
Keywords :
Image reconstruction algorithm , eminent pixel reconstruction , ultrasonic transmission tomography , two , phase flow , median filter , component distribution
