Opening book details…
Can I read Improving Subviral Particle Tracks in Fluoroscopic Image Sequences by Global Motion Compensation on EtoBox?
Improving Subviral Particle Tracks in Fluoroscopic Image Sequences by Global Motion Compensation by Rausch, Andreas; Schanze, Thomas is a Engineering article available to read on EtoBox.
What is Improving Subviral Particle Tracks in Fluoroscopic Image Sequences by Global Motion Compensation about?
## Abstract 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.
Who reads Improving Subviral Particle Tracks in Fluoroscopic Image Sequences by Global Motion Compensation?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Rausch, Andreas; Schanze, Thomas
- Publisher
- Walter de Gruyter GmbH (ISSN 2364-5504)
- Published
- 2017
- Language
- EN
- Field
- Engineering (Physical Sciences)