Surface Texture Characterization of Fibers Using Fractional Brownian Motion Model

نویسندگان

  • Jiun-Jian Liaw
  • Chuan-Pin Lu
  • Lin-Huang Chang
چکیده

The texture of the surface of individual fiber is an important characteristic. The fibers can be classified and recognized using the surface texture by a specific parameter. To describe the texture, the fractal parameter (or Hurst coefficient) is a proper value. In this study, we use the Fractional Brownian Motion (FBM) to model the texture of the fiber surface. And we apply a Fourier-domain Maximum Likelihood Estimator (FDMLE) to calculate the fractal parameter of FBM. According to the experimental results, we can objectively classify different types of fibers.

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تاریخ انتشار 2010