Image-Based Technique for Turbulent Flow Segmentation
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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Springer Verlag
2018
|
Online Access: | 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 http://eprints.utp.edu.my/21273/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utp.eprints.21273 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.212732019-02-26T03:18:38Z Image-Based Technique for Turbulent Flow Segmentation Osman, A.B. Ovinis, M. Faye, I. Hashim, F.M. 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. Springer Verlag 2018 Article NonPeerReviewed 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 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. http://eprints.utp.edu.my/21273/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
description |
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. |
format |
Article |
author |
Osman, A.B. Ovinis, M. Faye, I. Hashim, F.M. |
spellingShingle |
Osman, A.B. Ovinis, M. Faye, I. Hashim, F.M. Image-Based Technique for Turbulent Flow Segmentation |
author_facet |
Osman, A.B. Ovinis, M. Faye, I. Hashim, F.M. |
author_sort |
Osman, A.B. |
title |
Image-Based Technique for Turbulent Flow Segmentation |
title_short |
Image-Based Technique for Turbulent Flow Segmentation |
title_full |
Image-Based Technique for Turbulent Flow Segmentation |
title_fullStr |
Image-Based Technique for Turbulent Flow Segmentation |
title_full_unstemmed |
Image-Based Technique for Turbulent Flow Segmentation |
title_sort |
image-based technique for turbulent flow segmentation |
publisher |
Springer Verlag |
publishDate |
2018 |
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 http://eprints.utp.edu.my/21273/ |
_version_ |
1738656266259005440 |
score |
13.211869 |