A Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systems
Loading...
Date
2014-09
Authors
Nombo, Josiah
Mwambela, Alfred
Michael, Kisangiri
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Computer Applications
Abstract
Electrical Capacitance Tomography (ECT) is an image generating system based on soft field sensory system. The preferred Linear Back Projection (LPB) reconstruction algorithm for multi-phase measurement has blurring effect on the image generated. These two inherent factors, among others, affect the quality of image generated from ECT systems. Introducing fitting in the image generation process is one the solutions to improving its quality. In this article an alternative fitting mechanism based on the Gompertz function has been developed and evaluated. Comparative analysis results shows improvement on the spatial quality of images generated, in terms of minimum relative image and distribution errors, maximum correlation coefficient, and at relatively no additional computational cost. The mechanism is more effective for annular than stratified flow data hence complimenting the weakness of Xie method for annular flow.
Sustainable Development Goals
Research Article published by International Journal of Computer Applications Volume 101– No.8, September 2014
Keywords
Industrial Process Tomography, Image Reconstruction Algorithms