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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.v14.i1.10
pages 1-15

EVALUATION OF THE RAINBOW VOLUMIC VELOCIMETRY (RVV) PROCESS BY SYNTHETIC IMAGES

R. Malfara
Department CREST, Institute FEMTO-ST UMR CNRS 6174, 2 Av. J. Moulin, 90000 Belfort, FRANCE
Yannick Bailly
FEMTO-ST Institute, Univ. Bourgogne Franche-Comté, CNRS, Belfort, France
Jean-Pierre Prenel
University of Franche Comte/CNRS 6174, Belfort, France
C. Cudel
Laboratoire MIPS/Lab.El Université de Haute Alsace, France

ABSTRACT

The main goal of this paper is to present recent improvements of the original optical method dedicated to 3D flows, named R VV (Rainbow Volumic Velocimetry). The authors propose a new way to evaluate the importance of the image quality in flow visualization. A method for generating synthetic images has been developed in order to simulate the RVV technique. With this approach, some factors can be tested such as image noise, image contrast, and spectrum characteristics. Moreover, the performance of image processing tools specifically developed for RVV applications can be also estimated. The principles of both PTV and PSV have been investigated synthetically.


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