论文信息 - Vortex segmentation on satellite oceanographic images

Vortex segmentation on satellite oceanographic images

Sea temperature images coming from infrared sensors (AVHRR) allow the visualization of oceanographic activity at meso-scale (100 km), such as temperature fronts, vortices, ... These phenomena are, by their very nature, deformable, and deserve specific studies. We focused our study on the segmentation of vortices. We present three different methods to do this, using hybrid hyperquadric functions, Markovian framework, and geometrical modelization.

Isabelle Herlin | Jean-Paul Berroir | Isaac Cohen | Sonia Bouzidi

[1] Gérard Giraudon,et al. Segmentation of echocardiographic images with Markov random fields , 1994, ECCV.

[2] ISAAC COHEN,et al. Using deformable surfaces to segment 3-D images and infer differential structures , 1992, CVGIP Image Underst..

[3] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .

[4] Andrew J. Hanson,et al. Hyperquadrics: Smoothly deformable shapes with convex polyhedral bounds , 1988, Comput. Vis. Graph. Image Process..

[5] Laurent D. Cohen,et al. A Hybrid Hyperquadric Model for 2-D and 3-D Data Fitting , 1996, Comput. Vis. Image Underst..