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An Image Edge Detection Algorithm Based on Improved Wavelet Transform
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Xumin Duan, Z. Wang, Xiaojun Xu, Weixiang |
| Copyright Year | 2016 |
| Abstract | In this paper, for wavelet modulus maxima edge detection affected by noise largely, we propose an improved image fusion algorithm. Firstly, wavelet denoising and smoothing filter are conducted on the original image. Secondly, making edge detection with wavelet transform modulus maxima edge detection and improved canny edge detection get each of edge detection images. Thirdly, let the wavelet fusion follow some certain fusion rules. Finally, making the inverse wavelet transform reconstruct the fused image. The experimental results show that the fused image combines the advantages of edge detection methods, which is an effective image edge detection method. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.sersc.org/journals/IJSIP/vol9_no4/38.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Canny edge detector Edge detection Experiment Fused Image Image fusion Maxima Modulus of continuity Natural Science Disciplines Noise reduction Requirement Rule (guideline) Smoothing (statistical technique) Wavelet transform Zero suppression |
| Content Type | Text |
| Resource Type | Article |