Method of determining a changing spatial distribution of particles at multiple points in time

• US 9,733,267 B2
• Filed: 11/30/2015
• Issued: 08/15/2017
• Est. Priority Date: 05/31/2013
• Status: Active Grant

• Current Assignee: Lavision GmbH
• Original Assignee: Lavision GmbH
• Inventors: Wieneke, Bernhard, Schroeder, Andreas, Schanz, Daniel
• Primary Examiner(s): Yentrapati, Avinash
• Application Number:
  US14/953,675
• Publication Number:
  US 20160084868A1
• Time in Patent Office: 624 Days
• Field of Search: None
• CPC Class Codes: G01P 5/001 Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation
• CPC Class Codes: G01P 5/20 using particles entrained by a fluid stream G01P5/22 takes precedence
• CPC Class Codes: G06T 2207/30241 Trajectory
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments

Abstract

For determining a changing spatial distribution of particles at each of multiple points in time, real two-dimensional images of the particles are recorded with different mapping functions. An estimated spatial distribution of the particles is provided. Virtual two-dimensional images of the estimated spatial distribution are calculated applying the different mapping functions. Differences between the virtual and the real two-dimensional images are determined; and the estimated spatial distribution of the particles are varied for reducing the differences to obtain a spatial distribution approximated to the actual spatial distribution of the particles. The estimated spatial distribution of the particles is provided in that the locations of the individual particles in a spatial distribution approximated for one other point in time are shifted dependently on how the locations of the individual particles have changed between at least two spatial distributions approximated for at least two other points in time.

Claims

1. A method of determining a changing spatial distribution of particles at multiple points in time following to each other at intervals, the method comprising the following steps for each of the points in time:

recording real two-dimensional images of the particles with different mapping functions at the respective one of the points in time;

providing an estimated spatial distribution of the particles;

calculating virtual two-dimensional images of the estimated spatial distribution applying the different mapping functions;

determining differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions; and

varying the estimated spatial distribution of the particles for reducing the differences to obtain an approximated spatial distribution which is approximated to the actual spatial distribution of the particles at the respective one of the points in time;

wherein the estimated spatial distribution of the particles for at least one of the points in time is provided in that the locations of the individual particles in an approximated spatial distribution obtained for one other of the points in time are shifted dependently on how the locations of the individual particles have changed between at least two approximated spatial distributions obtained for at least two others of the points in time.

2. The method of claim 1, wherein the approximated spatial distribution obtained for the one other of the points in time is the spatial distribution which has been obtained for the last one of the points in time prior to the at least one of the points in time or for the next one of the points in time after the at least one of the points in time.

3. The method of claim 1, wherein the approximated spatial distributions obtained for the at least two others of the points time include the spatial distributions obtained for the last one of the points in time and the next to last one of the points in time prior to the at least one of the points in time, or the next one of the points in time and the next to next one of the points in time after the at least one of the points in time.

4. The method of claim 1, wherein the estimated spatial distribution of the particles is provided for at least one of the points in time in that trajectories of the individual particles are determined from the approximated spatial distributions obtained for the at least two others of the points in time and in that these trajectories are extrapolated for the at least one of the points in time.

5. The method of claim 4, wherein the trajectories are determined from the approximated spatial distributions obtained for more than two others of the points in time.

6. The method of claim 5, wherein particles with discontinuous trajectories are identified and eliminated from the estimated spatial distributions.

7. The method of claim 5, wherein particles with trajectories which deviate from Navier-Stokes solutions for a flow of a fluid seeded with the particles by more than a preset limit value are identified and eliminated from the approximated spatial distributions.

8. The method of claim 5, wherein, if a particle whose trajectory has been followed over a plurality of previous ones of the points in time is missing in the real images recorded for the at least one of the points in time but reappears in the real images recorded for later ones of the points in time on a continuation of the same trajectory, a location of the particle on the continuous trajectory is added to the spatial distribution determined for the at least one of the points in time.

9. The method of claim 1, wherein, if particles are missing in the real images when determining the differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions, these particles missing in the real images are eliminated from the approximated spatial distribution.

10. The method of claim 1, wherein, if additional particles appear in the real images when determining the differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions, these additional particles appearing in the real images are added to the approximated spatial distribution.

11. The method of claim 1, wherein the spatial distributions of the particles for those of the points in time between a first one of the points in time and a much later second one of the points in time are once determined starting from the first one of the points in time for succeeding points in time and once starting from the second one of the points in time for preceding points in time.

12. The method of claim 11, wherein particles which are only included in one of the two approximated spatial distributions obtained for any one of the points in time between the first one of the points in time and the second one of the points in time are added to the other spatial distribution for the respective one of the points in time.

13. The method of claim 1, wherein, in varying the estimated spatial distribution of the particles for reducing the differences, spatial locations of particles which are closely neighboring in the estimated spatial distributions are varied in a coordinated way.

14. A method of determining a changing spatial distribution of particles at multiple points in time following to each other at intervals, the method comprising the following steps for each of the points in time:

recording real two-dimensional images of the particles with different mapping functions at the respective one of the points in time;

providing an estimated spatial distribution of the particles;

calculating virtual two-dimensional images of the estimated spatial distribution applying the different mapping functions;

determining differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions; and

varying the estimated spatial distribution of the particles for reducing the differences to obtain an approximated spatial distribution which is approximated to the actual spatial distribution of the particles at the respective one of the points in time;

wherein the estimated spatial distribution of the particles for at least one of the points in time is provided in that the locations of the individual particles in an approximated spatial distribution obtained for one other of the points in time are shifted dependently on how the locations of the individual particles have changed between at least two approximated spatial distributions obtained for at least two others of the points in time;

wherein the estimated spatial distribution of the particles is provided for at least one of the points in time in that trajectories of the individual particles are determined from the approximated spatial distributions obtained for the at least two others of the points in time and in that these trajectories are extrapolated for the at least one of the points in time;

wherein the trajectories are determined from the approximated spatial distributions obtained for more than two others of the points in time; and

wherein particles with trajectories which deviate from Navier-Stokes solutions for a flow of a fluid seeded with the particles by more than a preset limit value are identified and eliminated from the approximated spatial distributions.

15. A method of determining a changing spatial distribution of particles at multiple points in time following to each other at intervals, the method comprising the following steps for each of the points in time:

recording real two-dimensional images of the particles with different mapping functions at the respective one of the points in time;

providing an estimated spatial distribution of the particles;

calculating virtual two-dimensional images of the estimated spatial distribution applying the different mapping functions;

determining differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions; and

varying the estimated spatial distribution of the particles for reducing the differences to obtain an approximated spatial distribution which is approximated to the actual spatial distribution of the particles at the respective one of the points in time;

wherein the estimated spatial distribution of the particles for at least one of the points in time is provided in that the locations of the individual particles in an approximated spatial distribution obtained for one other of the points in time are shifted dependently on how the locations of the individual particles have changed between at least two approximated spatial distributions obtained for at least two others of the points in time; and

wherein the spatial distributions of the particles for those of the points in time between a first one of the points in time and a much later second one of the points in time are once determined starting from the first one of the points in time for succeeding points in time and once starting from the second one of the points in time for preceding points in time.

16. The method of claim 15, wherein particles which are only included in one of the two approximated spatial distributions obtained for any one of the points in time between the first one of the points in time and the second one of the points in time are added to the other spatial distribution for the respective one of the points in time.

17. The method of claim 15,

wherein the approximated spatial distribution obtained for the one other of the points in time is the spatial distribution which has been obtained for the last one of the points in time prior to the at least one of the points in time or for the next one of the points in time after the at least one of the points in time, and

wherein the approximated spatial distributions obtained for the at least two others of the points time include the spatial distributions obtained for the last one of the points in time and the next to last one of the points in time prior to the at least one of the points in time, or the next one of the points in time and the next to next one of the points in time after the at least one of the points in time.

18. The method of claim 15,

wherein the estimated spatial distribution of the particles is provided for at least one of the points in time in that trajectories of the individual particles are determined from the approximated spatial distributions obtained for the at least two others of the points in time and in that these trajectories are extrapolated for the at least one of the points in time, and

wherein the trajectories are determined from the approximated spatial distributions obtained for more than two others of the points in time.

19. The method of claim 18, wherein particles selected from

particles with discontinuous trajectories and

particles with trajectories which deviate from Navier-Stokes solutions for a flow of a fluid seeded with the particles by more than a preset limit value are identified and eliminated from the approximated spatial distributions.

20. The method of claim 18, wherein, if a particle whose trajectory has been followed over a plurality of previous ones of the points in time is missing in the real images recorded for the at least one of the points in time but reappears in the real images recorded for later ones of the points in time on a continuation of the same trajectory, a location of the particle on the continuous trajectory is added to the spatial distribution determined for the at least one of the points in time.

21. The method of claim 15,

wherein, if particles are missing in the real images when determining the differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions, these particles missing in the real images are eliminated from the approximated spatial distribution, and

wherein, if additional particles appear in the real images when determining the differences between the virtual two-dimensional images and the real two-dimensional images of the same mapping functions, these additional particles appearing in the real images are added to the approximated spatial distribution.

22. The method of claim 15, wherein, in varying the estimated spatial distribution of the particles for reducing the differences, spatial locations of particles which are closely neighboring in the estimated spatial distributions are varied in a coordinated way.