An adaptive embedded architecture for real-time Particle Image Velocimetry algorithms

Alain Aubert (1) , Nathalie Bochard (1) , Virginie Fresse (1)

1 LHC - Laboratoire Hubert Curien

Particle Image Velocimetry (PIV) is a method of im-aging and analysing fields of flows. The PIV tech-niques compute and display all the motion vectors of the field in a resulting image. Speeds more than thou-sand vectors per second can be required, each speed being environment-dependent. Essence of this work is to propose an adaptive FPGA-based system for real-time PIV algorithms. The proposed structure is ge-neric so that this unique structure can be re-used for any PIV applications that uses the cross-correlation technique. The major structure remains unchanged, adaptations only concern the number of processing operations. The required speed (corresponding to the number of vector per second) is obtained thanks to a parallel processing strategy. The image processing designer duplicates the processing modules to distrib-ute the operations. The result is a FPGA-based archi-tecture, which is easily adapted to algorithm specifica-tions without any hardware requirement. The design flow is fast and reliable.

Keywords: embedded architecture; FPGA; reconfigurable; Image; Real-time; PIV

Domains: Electronics; Embedded Systems; Hardware Architecture [cs.AR]; Signal and Image processing; Signal and Image Processing

Alain Aubert, Nathalie Bochard, Virginie Fresse. An adaptive embedded architecture for real-time Particle Image Velocimetry algorithms. 14th European Signal Processing Conference - EUSIPCO 2006, Sep 2006, Florence, Italy. pp.F6.1 R4. ⟨ujm-00124018⟩