AN IMPROVED ALGORITHM FOR DPIV CORRELATION ANALYSIS |
| |
| Authors: | WU Long-hua |
| |
| Affiliation: | 1. Karolinska Institute, Department of Women''s and Children''s Health, Karolinska Universitetssjukhuset, Byggnad H2:00, 17165 Stockholm, Sweden;2. Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö, Lund University, Sweden;3. Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, Pamplona, Spain;4. Department of Gynecologic Oncology, IRCCS National Cancer Institute, Milan, Italy;5. Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary;6. Department of Preventive Gynecology, European Institute of Oncology, Milan, Italy;7. Gynecological Oncology Centre, Department of Obstetrics and Gynecology, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic;8. Clinic of Obstetrics and Gynecology, Department of Medicine and Surgery, San Gerardo Hospital, University of Milan-Bicocca, Monza, Italy;9. Department of Obstetrics and Gynecology, Azienda Ospedaliero Universitaria-Policlinico Duilio Casula, University of Cagliari, Cagliari, Italy;10. Department of Obstetrics, Gynecology and Reproduction, Hospital Universitario Dexeus, Barcelona, Spain;11. Department of Obstetrics and Gynecology, Catholic University of the Sacred Heart, Rome, Italy;12. Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium;13. Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden;14. Department of Women''s and Children''s Health, Karolinska Institutet, Stockholm, Sweden |
| |
| Abstract: | In a Digital Particle Image Velocimetry (DPIV) system, the correlation of digital images is normally used to acquire the displacement information of particles and give estimates of the flow field. The accuracy and robustness of the correlation algorithm directly affect the validity of the analysis result. In this article, an improved algorithm for the correlation analysis was proposed which could be used to optimize the selection/determination of the correlation window, analysis area and search path. This algorithm not only reduces largely the amount of calculation, but also improves effectively the accuracy and reliability of the correlation analysis. The algorithm was demonstrated to be accurate and efficient in the measurement of the velocity field in a flocculation pool. |
| |
| Keywords: | Digital Particle Image Velocimetry (DPIV) correlation analysis improved algorithm |
| 本文献已被 CNKI 维普 万方数据 ScienceDirect 等数据库收录！ |
|
