CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
A Hybrid Approach for Multiple Particle Tracking Microrheology
Xie, Liangjun1; Gu, Nong2; Cao, Zhiqiang3; Li, Dalong4
Source PublicationINTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
2013-02-12
Volume10
SubtypeArticle
AbstractGeometric object detection has many applications, such as in tracking. Particle tracking microrheology is a technique for studying mechanical properties by accurately tracking the motion of the immersed particles undergoing Brownian motion. Since particles are carried along by these random undulations of the medium, they can move in and out of the microscope's depth of focus, which results in halos (lower intensity). Two-point particle tracking microrheology (TPM) uses a threshold to find those particles with peak, which leads to the broken trajectory of the particles. The halos of those particles which are out of focus are circles and the centres can be accurately tracked in most cases. When the particles are sparse, TPM will lose certain useful information. Thus, it may cause inaccurate microrheology. An efficient algorithm to detect the centre of those particles will increase the accuracy of the Brownian motion. In this paper, a hybrid approach is proposed which combines the steps of TPM for particles in focus with a circle detection step using circular Hough transform for particles with halos. As a consequence, it not only detects more particles in each frame but also dramatically extends the trajectories with satisfactory accuracy. Experiments over a video microscope data set of polystyrene spheres suspended in water undergoing Brownian motion confirmed the efficiency of the algorithm.
KeywordMultiple Particle Tracking Microrheology Circular Hough Transform Circle Detection
WOS HeadingsScience & Technology ; Technology
WOS KeywordHOUGH TRANSFORM
Indexed BySCI
Language英语
WOS Research AreaRobotics
WOS SubjectRobotics
WOS IDWOS:000316467700001
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3495
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.Schlumberger Ltd, Houston, TX 77056 USA
2.Deakin Univ, Ctr Intelligent Syst Res, Waurn Ponds, Australia
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
4.Hewlett Packard Corp, Houston, TX USA
Recommended Citation
GB/T 7714
Xie, Liangjun,Gu, Nong,Cao, Zhiqiang,et al. A Hybrid Approach for Multiple Particle Tracking Microrheology[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2013,10.
APA Xie, Liangjun,Gu, Nong,Cao, Zhiqiang,&Li, Dalong.(2013).A Hybrid Approach for Multiple Particle Tracking Microrheology.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,10.
MLA Xie, Liangjun,et al."A Hybrid Approach for Multiple Particle Tracking Microrheology".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 10(2013).
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