Abstract
A new fuzzy-based multiscale edge detection technique is presented. The proposed approach achieves optimal edge detection using the wavelet decomposition of the original signal followed by a novel fuzzy-based decision technique that is applied across the scales. Results indicate a significant improvement in locating edges compared to other multiscale approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 30-32 |
| Number of pages | 2 |
| Journal | Electronics Letters |
| Volume | 39 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2003 |
Keywords
- decision technique
- fuzzy reasoning
- fuzzy-based technique
- fuzzy operator
- multiresolution representation
- multiscale edge detection
- wavelet decomposition
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Cite this
Sheikh Akbari, A., & Soraghan, J. J. (2003). Fuzzy-based multiscale edge detection (FWOMED). Electronics Letters, 39(1), 30-32. https://doi.org/10.1049/el:20030074