2008/07/23 by Alain Aubert, Aubert, Alain, Nathalie Bochard +3
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Hardware Architecture (cs.AR) #cs.AR
paper · pdf · doi:10.48550/arxiv.0807.3732
14th European Signal Processing Conference - EUSIPCO 2006, Florence : Italie (2006)
arxiv created 2008/07/23 · openalex publication_date 2008/07/23 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.