科学技术与应用

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ISSN

3060-9453(Oline)
3060-9461(Print)

Article Processing Charges (APCs)

SGD$600

Publication Frequency

Bi-Monthly

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Published

2025-05-29

Issue

Vol 2 No 2 (2025): Published

Section

Articles

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基于 ORB+RANSAC 算法改进 CavTrack-PTV 算法的研究

高 敬凯

沈阳工业大学

李 勤

沈阳工业大学

杨 焱焱

沈阳工业大学


DOI: https://doi.org/10.59429/kxjsyy.v2i2.10154


Keywords: 空泡追踪;ORB;RANSAC;PTV


Abstract

论文提出了一种名为 CavTrack-PTV 的新型粒子测速技术算法,该算法基于 ORB 算法来进行改进,并引入 改进的RANSAC匹配算法。CavTrack-PTV算法显著提升了在复杂流体环境中空泡追踪和速度测量的准确性和稳定性。 通过实验验证,CavTrack-PTV 算法在多个性能指标上均表现出优于传统 PTV 算法的性能。


References

[1] Trallero J L, Sarica C, Brill J P. A Study of Oil-Water Flow Patterns in Horizontal Pipes[J]. SPE Production & Facilities,1997,12(3):165-172.

[2] Wang R, Xia Y, Wang G, et al. License plate localization in complex scenes based on oriented FAST and rotated BRIEF feature[J]. Journal of Electronic Imaging,2015,24(5):53011.



ISSN: 3060-9453
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