Improving subviral particle tracks in fluoroscopic image sequences by global motion compensation

Current Directions in Biomedical Engineering

卷:3

Schanze Thomas¹  Rausch Andreas¹ 

[1] Technische Hochschule Mittelhessen, Dept. Life Science Engineering, Wiesenstr. 14, D-35390 Gießen, Germany;

关键词: fluorescence microscopy;    subviral particles;    tracking;    simulation;    registration;    motion compensation;    kalman filter;   

DOI  :  10.1515/cdbme-2017-0044

来源: DOAJ

【 摘 要 】

Automatic detection and tracking of subviral particles in image sequences is an indispensable supportive method for modern medicine research programs. This paper describes the development of a highly adaptable camera-to-world system motion invariant tracking algorithm. A translation compensation is obtained by cross correlations. Particles are detected by an implemented existing algorithm. The detected particles are linked by solving a Linear Assignment Problem. For highly stable results the tracks are improved by Kalman filtering. The algorithm is tested on simulated sequences. The results show a great ability for stable tracking.

【 授权许可】

Unknown