Multi-Feature Edge Detection with the Feature of Local Image Complexity

نویسندگان

  • X. ZHUANG
  • N. E. MASTORAKIS
چکیده

In this paper, the local fuzzy fractal dimension (LFFD) is proposed to represent the feature of local image complexity. The definition of LFFD is an extension of the box-counting dimension of discrete sets by incorporating the fuzzy set. The relationship between LFFD and local intensity changing is investigated by experiments, which proves that LFFD is an important feature of edges and is insensitive to noises. Multi-feature edge detection is implemented with the LFFD and the Sobel operator. The experimental results show that the incorporation of LFFD in edge detection improves the quality of edge detection results. Key-Words: Edge detection, fractal, local fuzzy fractal dimension, local image complexity, multi-feature image processing

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تاریخ انتشار 2005