Image processing algorithm for particle trajectory image and reconstruction study on flow field

Wu Fan; Zhou Wu; Cai Xiaoshu

doi:10.11729/syltlx20180070

Volume 33 Issue 4

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Wu Fan, Zhou Wu, Cai Xiaoshu. Image processing algorithm for particle trajectory image and reconstruction study on flow field[J]. Journal of Experiments in Fluid Mechanics, 2019, 33(4): 100-107. doi: 10.11729/syltlx20180070

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Image processing algorithm for particle trajectory image and reconstruction study on flow field

doi: 10.11729/syltlx20180070

Institute of Particle and Two-phase Flow Measurement Technology, University of Shanghai for Science and Technology, Shanghai 200093, China

Received Date: 2018-06-29
Rev Recd Date: 2018-12-28
Publish Date: 2019-08-25

Abstract

Abstract

The aim of the present study is to develop an efficient image processing approach and flow field reconstruction method to obtain the particles velocities distributions from a single frame and single exposure image (SFSEI). The image processing approach contains de-noising, laplacian sharpening, adaptive threshold segmentation, close operation, removing of small particles and skeletonizing; the velocity calculating algorithm contains velocity calculating, ambiguity estimating, tangent vector calculating. The error produced by these methods is calculated. The flow field reconstruction approach is based on RBF (Radial Basis Function) interpolation and optimized by windward interpolation, the deviation of the reconstruction method is also calculated. A processing example using jet flow image demonstrates that the algorithm is practicable.
- single frame and single exposure,
- multiple frame and continuous exposure,
- skeletonize,
- trajectory processing,
- flow field reconstruction

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References(16)

References

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