Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. The PTV Algorithm Based on SIFT Feature Points Matching
  1) Constructed Scale Space
  2) Detection extremum of scale space
  3) Precise positioning extreme points, discard the unstable feature points
  4) Generate the Feature Descriptors
  5) Feature matching
 3. The Experimental Apparatus and Process
 4. Experimental Results and Analysis
 5. Conclusions
 References

키워드

저자

• Weihang Kong [ School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China, Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei 066004, China ]
• Lei Li [ School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China, Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei 066004, China ]
• Lingfu Kong [ School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China, Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei 066004, China ]
• Yingwei Li [ School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China, Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei 066004, China ]
• Na Xie [ Information Department of Library, Yanshan University Qinhuangdao, Hebei 066004, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605