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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anna, W. Wu Jie Zhang Xinhua Tao Ran |
| Copyright Year | 2007 |
| Description | Author affiliation: Northeastern Univ., Shenyang (Anna, W.; Wu Jie; Zhang Xinhua) |
| Abstract | In order to realize fast, precise and robust image registration, we proposed a new registration method, which is based on image feature extraction by wavelet transform combined with 2v-SVM and particle swarm optimization (PSO) algorithm. We made the affine transform between the source image and the target image, took Mutual Information (MI) as the Similarity Metric and extracted the feature points of the two images by wavelet transform combined with 2v-SVM; finally we can obtain the optimal transform parameters using the PSO algorithm. Our experiment results show that the proposed registration algorithm is effectively and advantaged. |
| Starting Page | 584 |
| Ending Page | 584 |
| File Size | 304882 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769528821 |
| DOI | 10.1109/ICICIC.2007.66 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Image registration Image edge detection Feature extraction Frequency Iterative algorithms Robustness Data mining Mutual information Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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