Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images
From LRDE
- Authors
- Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot
- Journal
- Pattern Recognition
- Type
- article
- Projects
- Olena
- Keywords
- Image
- Date
- 2019-07-01
Abstract
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.
Documents
Bibtex (lrde.bib)
@Article{ tochon.19.pr, author = {Guillaume Tochon and Mauro {Dalla Mura} and Miguel Angel Veganzones and Thierry G\'eraud and Jocelyn Chanussot}, title = {Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images}, journal = {Pattern Recognition}, volume = 95, pages = {162--172}, year = 2019, month = nov, abstract = {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.}, doi = {10.1016/j.patcog.2019.05.029} }