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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6738| Title: | A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration |
| Keywords: | AI registration information theory unified framework |
| Issue Date: | 9-Oct-2013 |
| Description: | We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method yielding a better understanding of their relative strengths and weaknesses. Additionally, we discuss a generative statistical model from which we derive a novel analysis tool, the "auto-information function", as a means of assessing and exploiting the common spatial dependencies inherent in multi-modal imagery. We analytically derive useful properties of the "auto-information" as well as verify them empirically on multi-modal imagery. Among the useful aspects of the "auto-information function" is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-2004-011 http://hdl.handle.net/1721.1/6738 |
| Appears in Collections: | MIT Items |
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