Absolute joint moments: a novel image similarity measure

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  • dc.contributor.author Kalinić, Hrvojeca
  • dc.contributor.author Loncaric, Svenca
  • dc.contributor.author Bijnens, Bartca
  • dc.date.accessioned 2015-03-17T08:18:21Z
  • dc.date.available 2015-03-17T08:18:21Z
  • dc.date.issued 2013ca
  • dc.description.abstract In this paper, we propose a novel approach for estimating image similarity. This measure is of importance in assessing image correspondence or image alignment and plays an important role in image registration. Currently, this problem is approached rather one-dimensionally since most registration methods consider the problem as either mono- or multi-modal. This perspective leads to the selection of some form of either the correlation coefficient (CC) or mutual information (MI) as image similarity measure (ISM). We propose a more generic framework for ISM construction, based on absolute joint moments, which can be considered as a generalization of CC. Within this framework, we propose a specific ISM that provides a different trade-off between MI and CC in terms of performance and computational cost for general registration problems. To illustrate this, we compared CC and MI with the proposed ISM and performed extensive experiments with regard to accuracy, robustness and speed. The evaluation demonstrated that the proposed absolute joint moments is a good combination of properties of CC and MI, with respect to speed and performance.en
  • dc.description.sponsorship This study was supported by the Ministry of Science, Education and Sports of the Republic of Croatia under grant 036-0362214-1989 any partially by the Subprograma de Proyectos de Investigacin en Salud, Instituto de Salud Carlos III, Spain (FIS - PI11/01709)en
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Kalinić H, Lončarić S, Bijnens B. Absolute joint moments: a novel image similarity measure. EURASIP Journal on Image and Video Processing. 2013;2013:24. DOI: 10.1186/1687-5281-2013-24ca
  • dc.identifier.doi http://dx.doi.org/10.1186/1687-5281-2013-24
  • dc.identifier.issn 1687-5176ca
  • dc.identifier.uri http://hdl.handle.net/10230/23198
  • dc.language.iso engca
  • dc.publisher SpringerOpenca
  • dc.relation.ispartof EURASIP Journal on Image and Video Processing. 2013;2013:24
  • dc.rights © 2013 Kalinićet al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/2.0
  • dc.subject.other Enginyeria -- Informàticaca
  • dc.title Absolute joint moments: a novel image similarity measureca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca