A Hybrid Approach for Multiple Particle Tracking Microrheology

	A Hybrid Approach for Multiple Particle Tracking Microrheology
	Xie, Liangjun 1; Gu, Nong 2; Cao, Zhiqiang3 ; Li, Dalong 4
发表期刊	INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
	2013-02-12
卷号	10
文章类型	Article
摘要	Geometric 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.
关键词	Multiple Particle Tracking Microrheology Circular Hough Transform Circle Detection
WOS标题词	Science & Technology ; Technology
关键词[WOS]	HOUGH TRANSFORM
收录类别	SCI
语种	英语
WOS研究方向	Robotics
WOS类目	Robotics
WOS记录号	WOS:000316467700001
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3495
专题	复杂系统认知与决策实验室_先进机器人
作者单位	1.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
推荐引用方式 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).