文章基本信息

标题：A PTV Method Based on SIFT Feature Points Matching for Velocimetry Measurement of Oil-water Two-phase Flow in Horizontal Pipelines
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作者：Weihang Kong ; Lei Li ; Lingfu Kong 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：195-206
DOI：10.14257/ijsip.2015.8.12.19
出版社：SERSC
摘要：Due to the advantages of scale invariant feature transform (SIFT) feature points on the invariant to image scale, brightness, rotation, occlusion, noise and so on, this paper proposes a Particle Tracking Velocimetry (PTV) method, based on SIFT feature points matching for velocity measurement of oil-water two-phase flow in horizontal pipelines. The oil-water two-phase flow with large droplet diameter, oil droplets overlap, ununiform lighting, and the centroid position of oil droplets can't be obtained only by using traditional PTV methods through morphological processing. However, in this paper, the algorithm can directly achieve the average velocity of the flow field according to the positions of correctly matched SIFT feature points, and there is no need to extract the centroid coordinates of each oil droplet. The experimental results show that the proposed algorithm not only can be used in the average velocity measurement of oil-water two- phase flow in horizontal pipelines, but also can reach 95% in the measuring accuracy when the matching feature points are enough sufficient.
关键词：Oil-Water Flow; Particle Tracking Velocimetry (PTV); Scale Invariant ; Feature Transform (SIFT); Feature Points Matching; Two-Phase Flow; Velocimetry ; Measurement