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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rong Wang Lihua Li Weijun Hong Nan Yang |
| Copyright Year | 2009 |
| Abstract | A THz Image edge detection approach based on wavelet and Neural Network is proposed in this paper. First, the source image is decomposed by wavelet, the edges in the low-frequency sub-image are detected using Neural Network method and the edges in the high-frequency sub-images are detected using wavelet transform method on the coarsest level of the wavelet decomposition, the two edge images are fused according to some fusion rules to obtain the edge image of this level, it then is projected to the next level. Afterwards the final edge image of L-1 level is got according to some fusion rule. This process is repeated until reaching the 0 level thus to get the final integrated and clear edge image. The experimental results show that our approach based on fusion technique is superior to Canny operator method and wavelet transform method alone. |
| Starting Page | 420 |
| Ending Page | 424 |
| File Size | 265414 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769537450 |
| DOI | 10.1109/HIS.2009.298 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Image recognition Image edge detection Image processing Electromagnetic radiation Wavelet analysis Pattern recognition neural network Image analysis Neural networks Information security wavelet Frequency edge detection |
| Content Type | Text |
| Resource Type | Article |
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