Improvements in Edge Detection Based on Mathematical Morphology and Wavelet Transform using Fuzzy Rules

@inproceedings{Dowlatabadi2011ImprovementsIE,
  title={Improvements in Edge Detection Based on Mathematical Morphology and Wavelet Transform using Fuzzy Rules},
  author={Masrour Dowlatabadi and Jalil Shirazi},
  year={2011}
}
In this paper, an improved edge detection algorithm based on fuzzy combination of mathematical morphology and wavelet transform is proposed. The combined method is proposed to overcome the limitation of wavelet based edge detection and mathematical morphology based edge detection in noisy images. Experimental results show superiority of the proposed method, as compared to the traditional Prewitt, wavelet based and morphology based edge detection methods. The proposed method is an effective edge… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
3 Extracted Citations
10 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 10 references

Edge detection based on fusion of wavelet transform and mathematical morphology

  • J W. zhang, Kang
  • 2009
1 Excerpt

Lice, “ A new method for edge detection in simage processing using interval Type-2 fuzzy logic

  • O. Mendoza, G P. Melin
  • IEEE International Conference on Granular…
  • 2007
1 Excerpt

A theory for multi-resolution signal decomposition ",IEEE Trans.Pattern

  • S. Mallat
  • Anal Machine intell,vol.11,
  • 1998
1 Excerpt

Characterization of signals from Multiscale dges,"IEEE.Trans

  • S. Mallat
  • Patt .Anal. Machine intell., vol.PAMI-14,
  • 1992
2 Excerpts

Similar Papers

Loading similar papers…