Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/11272
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Malmberg F. | en |
dc.contributor.author | Lindblad J. | en |
dc.contributor.author | Sladoje N. | en |
dc.contributor.author | Nystrm I. | en |
dc.date.accessioned | 2020-03-03T14:43:40Z | - |
dc.date.available | 2020-03-03T14:43:40Z | - |
dc.date.issued | 2011-03-25 | en |
dc.identifier.issn | 03043975 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/11272 | - |
dc.description.abstract | Many image segmentation methods utilize graph structures for representing images, where the flexibility and generality of the abstract structure is beneficial. By using a fuzzy object representation, i.e., allowing partial belongingness of elements to image objects, the unavoidable loss of information when representing continuous structures by finite sets is significantly reduced, enabling feature estimates with sub-pixel precision. This work presents a framework for object representation based on fuzzy segmented graphs. Interpreting the edges as one-dimensional paths between the vertices of a graph, we extend the notion of a graph cut to that of a located cut, i.e., a cut with sub-edge precision. We describe a method for computing a located cut from a fuzzy segmentation of graph vertices. Further, the notion of vertex coverage segmentation is proposed as a graph theoretic equivalent to pixel coverage segmentations and a method for computing such a segmentation from a located cut is given. Utilizing the proposed framework, we demonstrate improved precision of area measurements of synthetic two-dimensional objects. We emphasize that although the experiments presented here are performed on two-dimensional images, the proposed framework is defined for general graphs and thus applicable to images of any dimension. © 2010 Elsevier B.V. | en |
dc.relation.ispartof | Theoretical Computer Science | en |
dc.title | A graph-based framework for sub-pixel image segmentation | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1016/j.tcs.2010.11.030 | en |
dc.identifier.scopus | 2-s2.0-79951672818 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/79951672818 | en |
dc.relation.lastpage | 1349 | en |
dc.relation.firstpage | 1338 | en |
dc.relation.issue | 15 | en |
dc.relation.volume | 412 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Naučne i umetničke publikacije |
SCOPUSTM
Citations
31
checked on May 10, 2024
Page view(s)
11
Last Week
6
6
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.