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

R. Malfara; Yannick Bailly; Jean-Pierre Prenel; C. Cudel

doi:10.1615/JFlowVisImageProc.v14.i1.10

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Home > Journals > Journal of Flow Visualization and Image Processing > Volume 14, 2007 Issue 1 > EVALUATION OF THE RAINBOW VOLUMIC VELOCIMETRY (RVV) PROCESS BY SYNTHETIC IMAGES

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

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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.