Image Processing of Meteorological Images With Implicit Functions

Hussein Yahia 1 Isabelle Herlin 1
1 AIR - Image Processing and Dynamic and Satellite Data
Inria Paris-Rocquencourt
Abstract : Level sets of implicit functions are used for segmentation and tracking of deformable structures encountered in remote sensed imagery. Iso-contours are proposed as a basic tool to model motion of natural structures undergoing viscoelastic deformation and topological change. In this study we present an energy minimization process for the segmentation of deformable structures. The energy functional carries information about position, tangency and curvature. By using implicit functions, it is possible to satisfy in a simple way complex geometrical requirements about motion which would be rather difficult to ensure using a parametrized interpolating surface. The method is applied over a temporal sequence of satellite images displaying a vortex motion.
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Communication dans un congrès
Springer Berlin Heidelberg. 12th International Conference on Analysis and Optimization of Systems. Images, Wavelets and PDEs (ICAOS), Jun 1996, Paris, France. 219, pp.74-81, 1996, Lecture Notes in Control and Information Sciences. 〈10.1007/3-540-76076-8_119〉
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https://hal.inria.fr/inria-00423808
Contributeur : H. Yahia <>
Soumis le : lundi 12 octobre 2009 - 18:24:17
Dernière modification le : mercredi 14 novembre 2018 - 13:54:02

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Hussein Yahia, Isabelle Herlin. Image Processing of Meteorological Images With Implicit Functions. Springer Berlin Heidelberg. 12th International Conference on Analysis and Optimization of Systems. Images, Wavelets and PDEs (ICAOS), Jun 1996, Paris, France. 219, pp.74-81, 1996, Lecture Notes in Control and Information Sciences. 〈10.1007/3-540-76076-8_119〉. 〈inria-00423808〉

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