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Conference Paper: Homological methods in feature extraction of multidimensional images

TitleHomological methods in feature extraction of multidimensional images
Authors
Mrozek, MZelawski, MKrajniak, AGryglewski, AHan, SJ
KeywordsImaging problems
Multi-dimensional images
Noisy image
Skeletonization
Standard algorithms
Issue Date2009
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001793
Citation
The 2nd International Congress on Image and Signal Processing (CISP'09), Tianjin, China, 17-19 October 2009. In Proceedings of 2nd CISP, 2009, p. 1-5 How to Cite?
DOI: http://dx.doi.org/10.1109/CISP.2009.5304552
AbstractWe show that the newly developed homology algorithms are helpful in imaging problems on the example of an algorithm extracting one dimensional features from a noisy image. We indicate that in some situations the global nature of this algorithm may become advantageous when compared with the standard algorithms based on skeletonization and pruning. The algorithm works in every dimension. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/166904
ISBN
978-1-4244-4131-0

 

DC FieldValueLanguage
dc.contributor.authorMrozek, Men_US
dc.contributor.authorZelawski, Men_US
dc.contributor.authorKrajniak, Aen_US
dc.contributor.authorGryglewski, Aen_US
dc.contributor.authorHan, SJen_US
dc.date.accessioned2012-09-21T01:43:32Z-
dc.date.available2012-09-21T01:43:32Z-
dc.date.issued2009en_US
dc.identifier.citationThe 2nd International Congress on Image and Signal Processing (CISP'09), Tianjin, China, 17-19 October 2009. In Proceedings of 2nd CISP, 2009, p. 1-5en_US
dc.identifier.isbn978-1-4244-4131-0-
dc.identifier.urihttp://hdl.handle.net/10722/166904-
dc.description.abstractWe show that the newly developed homology algorithms are helpful in imaging problems on the example of an algorithm extracting one dimensional features from a noisy image. We indicate that in some situations the global nature of this algorithm may become advantageous when compared with the standard algorithms based on skeletonization and pruning. The algorithm works in every dimension. ©2009 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001793-
dc.relation.ispartofCongress on Image and Signal Processing Proceedingsen_US
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectImaging problems-
dc.subjectMulti-dimensional images-
dc.subjectNoisy image-
dc.subjectSkeletonization-
dc.subjectStandard algorithms-
dc.titleHomological methods in feature extraction of multidimensional imagesen_US
dc.typeConference_Paperen_US
dc.identifier.emailMrozek, M: Marian.Mrozek@ii.uj.edu.pl ; Marian.Mrozek@wsb-nluen_US
dc.identifier.emailZelawski, M: zelawski@ii.uj.edu.pl-
dc.identifier.emailKrajniak, A: krajniak@ii.uj.edu.pl-
dc.identifier.emailGryglewski, A: msgrygle@cyf-kr.edu.pl-
dc.identifier.emailHan, SJ: sejinhan@hku.hk-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CISP.2009.5304552-
dc.identifier.scopuseid_2-s2.0-73849084325-
dc.identifier.hkuros209858en_US
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited States-
dc.description.otherThe 2nd International Congress on Image and Signal Processing (CISP'09), Tianjin, China, 17-19 October 2009. In Proceedings of 2nd CISP, 2009, p. 1-5-

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