An efficient level set model with self-similarity for texture segmentation.

Neurocomputing(2017)

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摘要
•A texture energy term based on the local self-similarity texture descriptor is introduced to the LGDF model, which could effectively snap to the textures boundary.•A lattice Boltzmann method (LBM) is deployed as a new numerical scheme to solve the level set equation, which can break the restriction of the Courant–Friedrichs–Lewy (CFL) condition that limits the time step of iterations in former numerical schemes.•GPU acceleration further improves the efficiency of our model.
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关键词
Texture segmentation,Level set,Local self-similarity,Lattice Boltzmann method
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