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- W2010699797 abstract "The classical snake algorithm has a problem in detecting the boundary of an object with deep concavities. While the GVF method can successfully detect boundary concavities, it consumes a lot of time computing the energy map. In this paper, we propose an algorithm to reduce the computation time and improve performance in detecting the boundary of an object with high concavity. We define the degree of complexity of object boundary as the local curvature. If the value of the local curvature is greater than a threshold value, new snake points are added. Simulation results on several different test images show that our method performs well in detecting object boundary and requires less computation time." @default.
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- W2010699797 date "2008-12-31" @default.
- W2010699797 modified "2023-09-26" @default.
- W2010699797 title "An Improved Snake Algorithm Using Local Curvature" @default.
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- W2010699797 doi "https://doi.org/10.3745/kipstb.2008.15-b.6.501" @default.
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