方案详情
文
A novel technique to increase the accuracy of multiplicative algebraic reconstruction
technique (MART) reconstruction from tomographic particle image velocimetry (PIV)
recordings at higher seeding density than currently possible is presented. The motion tracking
enhancement (MTE) method is based on the combined utilization of images from two or more
exposures to enhance the reconstruction of individual intensity fields. The working principle is
first introduced qualitatively, and the mathematical background is given that explains how the
MART reconstruction can be improved on the basis of an improved first guess object obtained
from the combination of non-simultaneous views reduced to the same time instant deforming
the 3D objects by an estimate of the particle motion field. The performances of MTE are
quantitatively evaluated by numerical simulation of the imaging, reconstruction and image
correlation processes. The cases of two or more exposures obtained from time-resolved
experiments are considered. The iterative application of MTE appears to significantly improve
the reconstruction quality, first by decreasing the intensity of the ghost images and second, by
increasing the intensity and the reconstruction precision for the actual particles. Based on
computer simulations, the maximum imaged seeding density that can be dealt with is tripled
with respect to the MART analysis applied to a single exposure.
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