Sökning: onr:"swepub:oai:DiVA.org:uu-149256" >
A Graph-based Frame...
A Graph-based Framework for Sub-pixel Image Segmentation
-
- Malmberg, Filip, 1980- (författare)
- Uppsala universitet,Centrum för bildanalys,Bildanalys och människa-datorinteraktion
-
- Lindblad, Joakim (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Centrum för bildanalys,,Centre for Image Analysis
-
- Sladoje, Natasa (författare)
- Faculty of Technical Sciences, University of Novi Sad
-
visa fler...
-
- Nyström, Ingela (författare)
- Uppsala universitet,Centrum för bildanalys,Bildanalys och människa-datorinteraktion
-
visa färre...
-
(creator_code:org_t)
-
- Elsevier BV, 2011
- 2011
- Engelska.
-
Ingår i: Theoretical Computer Science. - : Elsevier BV. - 0304-3975 .- 1879-2294. ; 412:15, s. 1338-1349
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
https://res.slu.se/i...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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 fuzzysegmented graphs. Interpreting the edges as one-dimensional paths betweenthe 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Image segmentation
- Graph labeling
- Graph cuts
- Coverage segmentation
- Sub-pixel segmentation
- Feature estimation
- Image analysis
- Bildanalys
- Datoriserad bildanalys
- Computerized Image Analysis
- Computerized Image Processing
- Datoriserad bildbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas