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Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.1

ISSN Print: 1065-3090
ISSN Online: 1940-4336

Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v7.i3.60
14 pages

EXTRACTION OF FLOW PROPERTIES FROM IMAGES USING AN IMPROVED DYNAMIC TRANSFORMATION FUNCTION

A. Aroussi
Mechanical Engineering, The University of Nottingham, Malaysia Campus Jalan Broga, Samenyih 43500, Selangor Darul Ehsan, Malaysia
M. Menacer
School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, Nottingham NG7 2RD, United Kingdom

ABSTRACT

The current optical flow investigative techniques, which are based on the principle of laser sheet visualization (LSV), provide qualitative and quantitative information about the spatial structure of the phases present. These techniques rely on the quality of the acquired images from which flow property information is extracted. This can be a particularly acute problem in two-phase flows, where the transporting medium is a gas. Images obtained from such flow regimes produce pictures with poor contrast. Therefore, flow visualization and velocity measurements are difficult and particulate statistics are almost impossible tasks to achieve.
An adaptive contrast-enhancement technique to improve images obtained from laser sheet-based flow diagnostic methods is presented. This enhancement is based on a dynamic transformation function that deals with all types of laser sheet images, particularly those with dense backgrounds and poor contrast. The proposed adaptive contrast-enhancement technique, with its dynamic transformation function, is evaluated on some high density and poor contrast images.