eprintid: 10890
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/08/90
datestamp: 2023-11-09 16:37:30
lastmod: 2023-11-09 16:37:30
status_changed: 2023-11-09 16:32:27
type: article
metadata_visibility: show
creators_name: Osman, A.B.
creators_name: Ovinis, M.
creators_name: Faye, I.
creators_name: Hashim, F.M.
title: Image-Based Technique for Turbulent Flow Segmentation
ispublished: pub
keywords: Image enhancement; Nozzles; Reynolds number; Turbulent flow; Video cameras, Buoyant jets; Complex flow; Flow regions; Image-based techniques; Jet penetration; Penetration area; Segmentation techniques; Turbulent jet, Image segmentation
note: cited By 0; Conference of 4th International Conference on Computational Science and Technology, ICCST17 ; Conference Date: 29 November 2017 Through 30 November 2017; Conference Code:211169
abstract: Turbulent flow segmentation from image data is a challenging problem. This is due to the un-defined edge and the complex flow nature of turbulence. In this paper, an image-based technique is proposed for turbulent flow segmentation from image. The proposed technique segments the flow region based on enhancing the input image intensity at flow edges and by defining a thresholding value to differentiate between flow region and image background. To test the image-based segmentation technique, a turbulent buoyant jet was experimentally simulated at different nozzle flow rates which have a Reynolds numbers of 960, 1560, and 3210. Then, a video camera was used to record the jet flow data. Then, the image-based technique was applied to segment the flow region and estimate the jet penetration area. As a result, the turbulent flow region was segmented well for all cases of nozzle flow rates. Moreover, application of the image-based technique for jet penetration estimation showed a good agreement with the previous work, in which the jet propagated linearly over time. © 2018, Springer Nature Singapore Pte Ltd.
date: 2018
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043319435&doi=10.1007%2f978-981-10-8276-4_12&partnerID=40&md5=72941a8f56a6e247b3d19d0aa8d27917
id_number: 10.1007/978-981-10-8276-4₁₂
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 488
pagerange: 119-129
refereed: TRUE
isbn: 9789811082757
issn: 18761100
citation:   Osman, A.B. and Ovinis, M. and Faye, I. and Hashim, F.M.  (2018) Image-Based Technique for Turbulent Flow Segmentation.  Lecture Notes in Electrical Engineering, 488.  pp. 119-129.  ISSN 18761100