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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Flow Visualization and Image Processing
SJR: 0.11 SNIP: 0.312 CiteScore™: 0.1

ISSN Печать: 1065-3090
ISSN Онлайн: 1940-4336

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Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v15.i3.10
pages 181-200

PIXEL QUANTIZATION INFLUENCE ON REAL-TIME CROSS-CORRELATION COMPUTATION FOR AN EMBEDDED PIV CONTROL SYSTEM

Nabila Filali
Unité de Métrologie en Mécanique des Fluides et Thermique (UMMFT), 03/UR/11-09, Ecole Nationale d’Ingénieurs de Monastir, Tunisie
Taoufik Filali
Unité de Métrologie en Mécanique des fluides et Thermique, Monastir University, Tunisia; and Hubert CURIEN Laboratory, Saint-Etienne University, France
Habib Ben Aissia
Unit of Metrology and Energy Systems, National Engineering School of Monastir, University of Monastir, Tunisia
Jacques Jay
Thermal Science Centre of Lyon (CETHIL - UMR CNRS 5008) National Institute of Applied Sciences of Lyon Lyon, France

Краткое описание

The main purpose of this paper is to evaluate the measurement efficiency of the PIV (Particle Image Velocimetry) technique in real time. Thus, we propose a new approach using pixel quantization format reduction to process image cross-correlation as well as flow displacement vector validation in real time. To achieve this, two delayed images are acquired and parallely transferred to a hardware system based on FPGA and to a computer. A cross-correlation processing algorithm between the images leads to computing of the displacement vector field. The PIV data validation criteria will be detailed and some of them are selected for implementation. With this contribution hardware needs are slightly dwindled by maintaining the same performance.


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