| dc.creator |
Nombo, Josiah |
|
| dc.creator |
Mwambela, Alfred |
|
| dc.creator |
Michael, Kisangiri |
|
| dc.date |
2019-08-27T08:12:31Z |
|
| dc.date |
2019-08-27T08:12:31Z |
|
| dc.date |
2014-09 |
|
| dc.date.accessioned |
2022-10-25T09:15:42Z |
|
| dc.date.available |
2022-10-25T09:15:42Z |
|
| dc.identifier |
http://dspace.nm-aist.ac.tz/handle/123456789/429 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/94546 |
|
| dc.description |
Research Article published by International Journal of Computer Applications Volume 101– No.8, September 2014 |
|
| dc.description |
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. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
International Journal of Computer Applications |
|
| dc.subject |
Industrial Process Tomography |
|
| dc.subject |
Image Reconstruction Algorithms |
|
| dc.title |
A Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systems |
|
| dc.type |
Article |
|