DUGiDocsUnsupervised active regions for multiresolution image segmentation
dc.contributor.author
dc.date.accessioned
2010-05-10T12:43:17Z
dc.date.available
2010-05-03T15:12:00Z
2010-05-10T12:43:17Z
dc.date.issued
2002
dc.identifier.citation
Muñoz, X., Martí, J., Cufí, X., i Freixenet, J. (2002). 16th International Conference on Pattern Recognition : 2002 : Proceedings, 2, 905-908. Recuperat 10 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1048451
dc.identifier.isbn
0-7695-1695-X
dc.identifier.issn
1051-4651
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dc.description.abstract
An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method
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application/pdf
dc.language.iso
eng
dc.publisher
IEEE
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICPR.2002.1048451
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© 16th International Conference on Pattern Recognition : 2002 : Proceedings, 2002, vol. 2, p. 905-908
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Articles publicats (D-ATC)
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Tots els drets reservats
dc.title
Unsupervised active regions for multiresolution image segmentation
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi