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Title |
Wavelet-Based Image Registration Techniques: A Study of Performance |
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Author |
Nagham E. Mekky, F. E.-Z. Abou-Chadi, S. Kishk |
| Citation |
Vol. 11 No. 2 pp. 188-196 |
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Abstract |
This paper presents a comparative study of performance for four wavelet-based multiresolution image registration techniques. The proposed algorithms are implemented and applied to dental panoramic X-ray images and magnetic resonance (MR) images of the brain. Cross-correlation based registration, mutual-information (MI) based hierarchical registration, scale invariant feature transform (SIFT) based registration, and hybrid registration approach using MI and SIFT operator combined with wavelet-based hierarchical pyramid, have been utilized. A comparison between proposed techniques with the corresponding techniques in the spatial domain is achieved. The quality of the registration process was measured using the following criteria: normalized cross-correlation coefficient (NCCC) and percentage relative root mean square error (PRRMSE). The application of the selected techniques to dental panoramic X-ray images and brain MR images has shown that wavelet-based hierarchical approach combining MI, SIFT, and RANdom Sample And Consensus (RANSAC) algorithm gives the best results and can be used efficiently for registration of two types of images. |
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Keywords |
Dentistry, hybrid approach, magnetic resonance (MR), mutual information, wavelet pyramid |
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