Fractal-based image edge detection

Huiguo Luo; Yaoting Zhu; Guang-Xi Zhu; Faguang Wan; Ping Zhang

doi:10.1117/12.150955

27 August 1993 Fractal-based image edge detection

Huiguo Luo, Yaoting Zhu, Guang-Xi Zhu, Faguang Wan, Ping Zhang

Author Affiliations +

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150955
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Huiguo Luo, Yaoting Zhu, Guang-Xi Zhu, Faguang Wan, and Ping Zhang "Fractal-based image edge detection", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150955

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