A Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systems

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dc.contributor.authorNombo, Josiah
dc.contributor.authorMwambela, Alfred
dc.contributor.authorKisangiri, Michael
dc.date.accessioned2016-05-20T07:32:35Z
dc.date.available2016-05-20T07:32:35Z
dc.date.issued2014
dc.description.abstractElectrical 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.en_US
dc.identifier.citationNombo, J., Mwambela, A. and Kisangiri, M., 2014. A Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systems. International Journal of Computer Applications, 101(8).en_US
dc.identifier.issn10.5120/17705-8704
dc.identifier.urihttp://hdl.handle.net/20.500.11810/2172
dc.language.isoenen_US
dc.titleA Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systemsen_US
dc.typeJournal Article, Peer Revieweden_US
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