Affine layer segmentation and adjacency graphs for vortex detection

In This work we review and present different methods for the detection and characterization of vortices. Our algorithm works on the segmentation of the image into affine layers. These layers are computed using a parametric tensor voting and encoded in an adjacency graph. Paths are computed from the adjacency graph and are used for characterizing paths´ properties such as: critical points and vortices. We illustrate the proposed approach to a satellite image sequence of water vapor in the atmosphere.