NDLI: Prediction of the grey level intensity in selected windows of image sequence using radial basis network

Content Provider	IEEE Xplore Digital Library
Author	Hocevar, M. Novak, M. Sirok, B.
Copyright Year	2000
Description	Author affiliation: Fac. of Mech. Eng., Ljubljana Univ., Slovenia (Hocevar, M.)
Abstract	An experimental study of the turbulent mixing flow in the wake of a prismatic bluff body was made in a nonreturn subsonic wind tunnel (Re/sub b/=4300) using flow visualization and a digital image-processing technique. A high-speed camera was used to capture smoke visualization images of the turbulent mixing flow structures. From the grey level intensity of selected image windows, using a radial basis neural network, grey levels of the neighbouring locations were calculated and compared to the measured intensity. As an input area, part of the image was used, located upstream of the prediction area. Prediction was based on history of 6 successive images. Neural network was trained where first 200 images of the same sequence were applied. Quality of prediction depends on now properties at a given location and on the distance from the input area. The quality of prediction at various locations corresponds well to the intensity of concentration fluctuations. Power spectra of the predicted and actual image sequence are compared.
Starting Page	613
Ending Page	618
File Size	490118
Page Count	6
File Format	PDF
ISBN	0780366069
DOI	10.1109/ISIE.2000.930368
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-12-04
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sequences Visualization Neural networks Mechanical engineering Digital images Fluctuations Turbomachinery Intelligent networks Cameras History
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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