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Construction of Target Controllable Image Segmentation Model Based on Homotopy Perturbation Technology

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  • Shu-Li Mei

Abstract

Based on the basic idea of the homotopy perturbation method which was proposed by Jihuan He, a target controllable image segmentation model and the corresponding multiscale wavelet numerical method are constructed. Using the novel model, we can get the only right object from the multiobject images, which is helpful to avoid the oversegmentation and insufficient segmentation. The solution of the variational model is the nonlinear PDEs deduced by the variational approach. So, the bottleneck of the variational model on image segmentation is the lower efficiency of the algorithm. Combining the multiscale wavelet interpolation operator and HPM, a semianalytical numerical method can be obtained, which can improve the computational efficiency and accuracy greatly. The numerical results on some images segmentation show that the novel model and the numerical method are effective and practical.

Suggested Citation

  • Shu-Li Mei, 2013. "Construction of Target Controllable Image Segmentation Model Based on Homotopy Perturbation Technology," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-8, February.
  • Handle: RePEc:hin:jnlaaa:131207
    DOI: 10.1155/2013/131207
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    Cited by:

    1. Shu-Li Mei & De-Hai Zhu, 2013. "Interval Shannon Wavelet Collocation Method for Fractional Fokker‐Planck Equation," Advances in Mathematical Physics, John Wiley & Sons, vol. 2013(1).
    2. Li-wei Liu, 2013. "Interval Wavelet Numerical Method on Fokker‐Planck Equations for Nonlinear Random System," Advances in Mathematical Physics, John Wiley & Sons, vol. 2013(1).

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