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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shutao Li Jinglin Peng Kwok, J.T. Jing Zhang |
| Copyright Year | 2006 |
| Description | Author affiliation: Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha (Shutao Li; Jinglin Peng) |
| Abstract | Image registration is a critical step in medical image analysis. In this paper, a novel image registration method based on the discrete wavelet frame transform (DWFT) and the sum of absolute distance (SAD) method is proposed. First, the multimodal images are decomposed by DWFT, which is shift-invariant compared to traditional dyadic wavelet transforms. Then the energy maps are computed from the details sub-band images. Finally, genetic algorithm (GA) is adopted to obtain the minimum SAD between the two energy maps. The proposed method is tested on 50 pairs of two-dimensional T1-weighted and T2-weighted modal images. Experimental results demonstrated that the proposed method can achieve high accuracy in the rigid transformation case |
| Sponsorship | IEEE CPS |
| Starting Page | 877 |
| Ending Page | 880 |
| File Size | 128542 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.839 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Discrete wavelet transforms Image registration Biomedical imaging Genetic algorithms Image segmentation Wavelet coefficients Educational institutions Biomedical engineering Computer science Image analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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