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|Title:||An image registration method based on the local and global structures||Authors:||Peng, N.
Multimedia content analysis
Multimedia signal processing
|Issue Date:||2007||Citation:||Peng, N., HUANG ZHIYONG, Hou, Z. (2007). An image registration method based on the local and global structures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4351 LNCS (PART 1) : 106-115. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-69423-6_11||Abstract:||We propose a novel feature-based image registration method using both the local and global structures of the feature points. To address various imaging conditions, we improve the local structure matching method. Compared to the conventional feature-based image registration methods, our method is robust by guaranteeing the high reliable feature points to be selected and used in the registration process. We have successfully applied our method to images of different conditions. © Springer-Verlag Berlin Heidelberg 2007.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/78015||ISBN:||9783540694212||ISSN:||03029743||DOI:||10.1007/978-3-540-69423-6_11|
|Appears in Collections:||Staff Publications|
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