• Chinese Optics Letters
  • Vol. 5, Issue 2, 79 (2007)
[in Chinese]1、2, [in Chinese]3, and [in Chinese]1
Author Affiliations
  • 1School of Science, Nanjing University of Science and Technology, Nanjing 210094
  • 2School of Physics and Electronics Engineering, Ludong University, Yantai 264025
  • 3School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094
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    [in Chinese], [in Chinese], [in Chinese]. An improved computing method for the image edge detection[J]. Chinese Optics Letters, 2007, 5(2): 79 Copy Citation Text show less

    Abstract

    The framework of detecting the image edge based on the sub-pixel multi-fractal measure (SPMM) is presented. The measure is defined, which gives the sub-pixel local distribution of the image gradient. The more precise singularity exponent of every pixel can be obtained by performing the SPMM analysis on the image. Using the singularity exponents and the multi-fractal spectrum of the image, the image can be segmented into a series of sets with different singularity exponents, thus the image edge can be detected automatically and easily. The simulation results show that the SPMM has higher quality factor in the image edge detection.
    [in Chinese], [in Chinese], [in Chinese]. An improved computing method for the image edge detection[J]. Chinese Optics Letters, 2007, 5(2): 79
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