Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2003.11a
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- Pages.263-265
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- 2003
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- 1226-9743(pISSN)
Multi-resolution Image Registration
- Wisetphanichkij, Sompong (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut’s Institute of Technology Ladkrabang) ;
- Dejhan, Kobchai (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut’s Institute of Technology Ladkrabang) ;
- Likitkarnpaiboon, Prayong (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut’s Institute of Technology Ladkrabang) ;
- Cheevasuvit, Fusak (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut’s Institute of Technology Ladkrabang) ;
- Sra-Ium, Napat (Faculty of Engineering and Research Center for Communication and Information Technology, King Mongkut’s Institute of Technology Ladkrabang) ;
- Vorrawat, Vinai (National Research Council of Thailand (NRCT)) ;
- Pienvijarnpong, Chanchai (Geo-Informatics and Space Technology Development Agency (GISTDA))
- Published : 2003.11.03
Abstract
The computation cost of image registration is affected by searching data size and space. This paper proposes an efficient image registration algorithm that uses multi-resolution wavelet decomposed image to reduce the data size search. The algorithm determines the correlation detection at low resolution on low-pass sub bands of wavelet and generate mask for higher resolution as part of a coarse to fine registration algorithm. The correlation matching is defined for coarse resolution similarity measurement, while mutual information (MI) is used at fine resolution. The results show that the new efficient mask-based algorithm improves computational efficiency and yields robust and consistent image registration results.