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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Wang A-chuan Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang, PRC (Chao Wang; A-chuan Wang) |
| Abstract | Aiming at the identification difficulty of texture-rich veneer defect images, a new variation model based on coupling image texture-structure decomposition and edge extraction is proposed in this paper. Firstly, An advanced AAFC structure-texture decomposition model is obtained through extending the regular items of AAFC model; Secondly, using the semi-quadratic regularization method to obtain a new model of coupled texture extraction and edge detection, and combining with the Chambolle's projection algorithm to finish the numerical solving of the now model, and finally realizing the structure-texture decomposition and extracting the edge information of veneer defect images. The experiment results show that the new model can get better edge information while conducting the structure-texture decomposition of veneer defect images, which indicates that the effect of image edge extraction in this paper can be better than separate edge extraction. |
| Starting Page | 669 |
| Ending Page | 672 |
| File Size | 228593 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467317436 |
| e-ISBN | 9781467317443 |
| DOI | 10.1109/ICACI.2012.6463251 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Couplings Image edge detection Image decomposition Numerical models Mathematical model Data mining Equations |
| Content Type | Text |
| Resource Type | Article |
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