27 August 1993 Fractal-based image edge detection
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Image edge is an important feature of image. Usually, we use Laplacian or Sober operator to get an image edge. In this paper, we use fractal method to get the edge. After introducing Fractal Brownian Random (FBR) field, we give the definition of Discrete Fractal Brownian Increase Random (DFBIR) field and discuss its properties, then we apply the DFBIR field to detect the edge of an image. According to the parameters H and D of DFBIR, we give a measure M equals (alpha) H + (beta) D. From the M value of each pixel, we can detect the edge of image.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huiguo Luo, Huiguo Luo, Yaoting Zhu, Yaoting Zhu, Guang-Xi Zhu, Guang-Xi Zhu, Faguang Wan, Faguang Wan, Ping Zhang, Ping Zhang, } "Fractal-based image edge detection", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150955; https://doi.org/10.1117/12.150955


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