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Volume 37 Issue 11
Nov.  2015
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Shi Mei-hong, Li Qing, Zhao Xue-qing, Qiao Dong-dong. A New Approach for Image Edge Detection Based on Conformal Phase[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2594-2600. doi: 10.11999/JEIT150364
Citation: Shi Mei-hong, Li Qing, Zhao Xue-qing, Qiao Dong-dong. A New Approach for Image Edge Detection Based on Conformal Phase[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2594-2600. doi: 10.11999/JEIT150364

A New Approach for Image Edge Detection Based on Conformal Phase

doi: 10.11999/JEIT150364
Funds:

The National Science Technology Support Program of China (2014BAF07B01)

  • Received Date: 2015-03-27
  • Rev Recd Date: 2015-06-29
  • Publish Date: 2015-11-19
  • To improve the image edge detection accuracy and anti-noise performance, a new approach for image edge detection based on conformal phase is proposed. Firstly, the proposed approach can effectively improve the precision of edge detection and restrain the false edge and noise by using respectively the conformal monogenic signal which could express local structure of the image with different intrinsic dimensions and an exponential function to calculate the phase deviation. Secondly, it can reduce the complexity of the algorithm by taking advantage of the Poisson kernel of existence of analytic representation in spatial domain. To demonstrate the advantages, the proposed approach is compared with the existing methods?of phase congruency based edge?detection. The simulation experiment results show that the proposed approach can extract image edge more accurately, more completely, and more uniformly, with better robustness to noise and lower computational complexity.
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