A Hybrid Approach for Multiple Particle Tracking Microrheology
文献类型：期刊论文
| 作者 | Xie, Liangjun1; Gu, Nong2; Cao, Zhiqiang3 ; Li, Dalong4
|
| 刊名 | INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
 |
| 出版日期 | 2013-02-12 |
| 卷号 | 10 |
| 关键词 | Multiple Particle Tracking Microrheology Circular Hough Transform Circle Detection |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Robotics |
| 研究领域[WOS] | Robotics |
| 关键词[WOS] | HOUGH TRANSFORM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000316467700001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3495]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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