TY  - JOUR
AV  - none
TI  - Image-Based Technique for Turbulent Flow Segmentation
SP  - 119
N1  - 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
SN  - 18761100
PB  - Springer Verlag
EP  - 129
KW  - Image enhancement; Nozzles; Reynolds number; Turbulent flow; Video cameras
KW  -  Buoyant jets; Complex flow; Flow regions; Image-based techniques; Jet penetration; Penetration area; Segmentation techniques; Turbulent jet
KW  -  Image segmentation
ID  - scholars10890
N2  - 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.
Y1  - 2018///
VL  - 488
UR  - 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
A1  - Osman, A.B.
A1  - Ovinis, M.
A1  - Faye, I.
A1  - Hashim, F.M.
JF  - Lecture Notes in Electrical Engineering
ER  -