Optical flow with structure information for epithelial image mosaicing

Abstract

Mosaicing of biological tissue surfaces is challenging due to the weak image textures. This contribution presents a mosaicing algorithm based on a robust and accurate variational optical flow scheme. A Riesz pyramid based multiscale approach aims at overcoming the "flattening-out" problem at coarser levels. Moreover, the structure information present in images of epithelial surfaces is incorporated into the data-term to improve the algorithm robustness. The algorithm accuracy is first assessed with simulated sequences and then used for mosaicing standard clinical endoscopic data.

Untangling cell tracks: Quantifying cell migration by time lapse image data analysis

“…Optical flow works in a similar way as PIV, but rather than matching discrete locations, the overall grayscale intensity profile is matched over a certain window. Among the applications of PIV and optical flow in biology are the motion of epithelial cells and invasion of cancerous tissue . For a deeper description and discussion about the PIV and optical flow, we would like to point the reader to a recent review on the use of these techniques in the description of cellular systems by Vig et al .…”