Active contour models for individual keratin filament tracking
|D. Kotsur, R. Leube, R. Windoffer, J. Mattes. Active contour models for individual keratin filament tracking. pages 109-110, 5, 2017.|
|Buch||Proceedings of the OAGM&ARW Joint Workshop on Vision, Automation and Robotic (OAGM&ARW 2017)|
|Verlag||Verlag der Technischen Universität Graz|
As a major component of the cytoskeleton, keratin filaments form a branched network, which plays a significant role in the mechanical response, motion and dynamics of the cell. They undergo a complex dynamic lifecycle, which we aim to investigate by tracking individual filaments. In this paper we introduce an active contour-based tracking algorithm to analyze the motion of individual keratin filaments in sequences of confocal images. The algorithm combines parametric active contours (snakes) with Lukas-Kanade’s algorithm for optical flow calculation. We define an image preprocessing workflow to compute robustly the external energy of the snake and we impose an additional structural constraint for controlling the length of the contour.