A geophysical method for density reconstruction using wavelet decomposition and watershed segmentation

Aug 26, 2014, 2:30 PM


Russia, 141980 Moscow region, Dubna


Mr Sergey Mitsyn (JINR)


A method for density reconstruction of a geophysical object by its gravity field based on composition of wavelet transform and watershed segmentation is presented. The problem is well-known ill-posed and ill-conditioned inverse problem. Many constrained methods giving solution to this problem exist, but suffered from various shortcomings: some of them impose unrealistic restrictions on solution, while others, like continuous wavelet transform, produce continuous density, which is unrealistic [1]. The proposed method overcomes those shortcomings by utilizing composition of continuous wavelet transform and image segmentation method “watershed”[2] to introduce sharp edges, thus making another step towards realistic models. References 1. Кобрунов А.И. Математические основы теории интерпретации геофизических данных - Ухта: УГТУ, 2007. - 286 с. 2. Cousty, J.; Bertrand, G.; Najman, L.; Couprie, M., "Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.31, no.8, pp.1362,1374, Aug. 2009

Primary author

Mr Sergey Mitsyn (JINR)


Prof. Gennady Ososkov (Joint Institute for Nuclear Research)

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