MISC

2019年11月

Braids of partitions for the hierarchical representation and segmentation of multimodal images

Pattern Recognition
  • Guillaume Tochon
  • ,
  • Mauro Dalla Mura
  • ,
  • Miguel Angel Veganzones
  • ,
  • Thierry Géraud
  • ,
  • Jocelyn Chanussot

95
開始ページ
162
終了ページ
172
記述言語
英語
掲載種別
DOI
10.1016/j.patcog.2019.05.029
出版者・発行元
ELSEVIER SCI LTD

© 2019 Elsevier Ltd Hierarchical data representations are powerful tools to analyze images and have found numerous applications in image processing. When it comes to multimodal images however, the fusion of multiple hierarchies remains an open question. Recently, the concept of braids of partitions has been proposed as a theoretical tool and possible solution to this issue. In this paper, we demonstrate the relevance of the braid structure for the hierarchical representation of multimodal images. We first propose a fully operable procedure to build a braid of partitions from two hierarchical representations. We then derive a framework for multimodal image segmentation, relying on an energetic minimization scheme conducted on the braid structure. The proposed approach is investigated on different multimodal images scenarios, and the obtained results confirm its ability to efficiently handle the multimodal information to produce more accurate segmentation outputs.

Web of Science ® 被引用回数 : 4

リンク情報
DOI
https://doi.org/10.1016/j.patcog.2019.05.029
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000478710600014&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067366984&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85067366984&origin=inward

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