%0 Journal Article
%@ 18761100
%A Osman, A.B.
%A Ovinis, M.
%A Faye, I.
%A Hashim, F.M.
%D 2018
%F scholars:10890
%I Springer Verlag
%J Lecture Notes in Electrical Engineering
%K 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
%P 119-129
%R 10.1007/978-981-10-8276-4₁₂
%T Image-Based Technique for Turbulent Flow Segmentation
%U https://khub.utp.edu.my/scholars/10890/
%V 488
%X 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.
%Z 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