Dissimilarity Measures for Visual Pattern Partitioning
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Electrónica e Computación | es_ES |
| dc.contributor.area | Área de Enxeñaría e Arquitectura | |
| dc.contributor.author | Dosil Lago, Raquel | |
| dc.contributor.author | Fernández Vidal, Xosé Ramón | |
| dc.contributor.author | Pardo López, Xosé Manuel | |
| dc.date.accessioned | 2024-02-12T09:51:48Z | |
| dc.date.available | 2024-02-12T09:51:48Z | |
| dc.date.issued | 2005 | |
| dc.description | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/11492542_36 | |
| dc.description.abstract | We define a visual pattern as an image feature with frequency components in a range of bands that are aligned in phase. A technique to partition an image into its visual patterns involves clustering of the band-pass filtered versions of the image according to a measure of congruence in phase or, equivalently, alignment in the filter’s responses energy maxima. In this paper we study some measures of dissimilarity between images and discuss their suitability to the specific task of misalignment estimation between energy maps. | es_ES |
| dc.description.sponsorship | The authors desire to acknowledge the Xunta de Galicia for their financial support of this work by means of the research project PGIDIT04TIC206005PR. | es_ES |
| dc.identifier.citation | Dosil, R., Fdez-Vidal, X.R., Pardo, X.M. (2005). Dissimilarity Measures for Visual Pattern Partitioning. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg | |
| dc.identifier.doi | 10.1007/11492542_36 | |
| dc.identifier.uri | http://hdl.handle.net/10347/32756 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer | |
| dc.rights | CC BY-NC-ND 4.0 | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Visual pattern | es_ES |
| dc.title | Dissimilarity Measures for Visual Pattern Partitioning | es_ES |
| dc.type | book part | es_ES |
| dc.type.hasVersion | AM | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | cd73ea3a-a160-4311-a29d-96106aef9c12 | |
| relation.isAuthorOfPublication | bb5c861b-ae58-40bd-9601-74c0a43bdfbf | |
| relation.isAuthorOfPublication | ec40b53b-a076-4895-9247-19ee9e6fbdce | |
| relation.isAuthorOfPublication.latestForDiscovery | cd73ea3a-a160-4311-a29d-96106aef9c12 |
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