CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Combined segmentation and tracking of neural stem-cells

Karin Althoff (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Johan Degerman (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Tomas Gustavsson (Institutionen för signaler och system, Digitala bildsystem och bildanalys)
Lecture Notes in Computer Science (0302-9743). Vol. 3540 (2005), p. 282-291.
[Artikel, refereegranskad vetenskaplig]

In this paper we analyze neural stem/progenitor cells in an time-lapse image sequence. By using information about the previous positions of the cells, we are able to make a. better selection of possible cells out of a collection of blob-like objects. As a blob detector we use Laplacian of Gaussian (LoG) filters at multiple scales, and the cell contours of the selected cells are segmented using dynamic programming. After the segmentation process the cells are tracked in the sequence using a. combined nearest-neighbor and correlation matching technique. An evaluation of the system show that 95% of the cells were correctly segmented and tracked between consecutive frames.


14th Scandinavian Conference on Image Analysis, Jun 19-22, 2005, Joensuu, Finland



Denna post skapades 2010-02-25.
CPL Pubid: 115024

 

Institutioner (Chalmers)

Institutionen för signaler och system, Digitala bildsystem och bildanalys (1900-2013)

Ämnesområden

Bildanalys

Chalmers infrastruktur