Difference between revisions of "Publications/fouquier.07.gbr"
From LRDE
| (5 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
{{Publication |
{{Publication |
||
| − | | |
+ | | published = true |
| + | | date = 2007-02-15 |
||
| authors = Geoffroy Fouquier, Jamal Atif, Isabelle Bloch |
| authors = Geoffroy Fouquier, Jamal Atif, Isabelle Bloch |
||
| title = Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation |
| title = Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation |
||
| Line 9: | Line 10: | ||
| publisher = Springer Verlag |
| publisher = Springer Verlag |
||
| pages = 138 to 147 |
| pages = 138 to 147 |
||
| − | | urllrde = 200706-GBR |
||
| abstract = Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem of order definition by developing algorithms that automatically deduce sequential segmentation paths from fuzzy spatial attribute graphs. As an illustration, these algorithms are applied on brain image understanding. |
| abstract = Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem of order definition by developing algorithms that automatically deduce sequential segmentation paths from fuzzy spatial attribute graphs. As an illustration, these algorithms are applied on brain image understanding. |
||
| lrdekeywords = Image |
| lrdekeywords = Image |
||
| + | | lrdenewsdate = 2007-02-15 |
||
| type = inproceedings |
| type = inproceedings |
||
| id = fouquier.07.gbr |
| id = fouquier.07.gbr |
||
| Line 40: | Line 41: | ||
automatically deduce sequential segmentation paths from |
automatically deduce sequential segmentation paths from |
||
fuzzy spatial attribute graphs. As an illustration, these |
fuzzy spatial attribute graphs. As an illustration, these |
||
| − | algorithms are applied on brain image understanding.<nowiki>}</nowiki> |
+ | algorithms are applied on brain image understanding.<nowiki>}</nowiki> |
| − | lrdekeywords = <nowiki>{</nowiki>Image<nowiki>}</nowiki> |
||
<nowiki>}</nowiki> |
<nowiki>}</nowiki> |
||
Latest revision as of 18:56, 4 January 2018
- Authors
- Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
- Where
- Proceedings of the 6th IAPR TC-15 Workshop on Graph-based Representations in Pattern Recognition (GBR)
- Place
- Alicante, Spain
- Type
- inproceedings
- Publisher
- Springer Verlag
- Keywords
- Image
- Date
- 2007-02-15
Abstract
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem of order definition by developing algorithms that automatically deduce sequential segmentation paths from fuzzy spatial attribute graphs. As an illustration, these algorithms are applied on brain image understanding.
Bibtex (lrde.bib)
@InProceedings{ fouquier.07.gbr,
author = {Geoffroy Fouquier and Jamal Atif and Isabelle Bloch},
title = {Local reasoning in fuzzy attribute graphs for optimizing
sequential segmentation},
booktitle = {Proceedings of the 6th IAPR TC-15 Workshop on Graph-based
Representations in Pattern Recognition (GBR)},
year = 2007,
month = jun,
address = {Alicante, Spain},
volume = {LNCS 4538},
editor = {F. Escolano and M. Vento},
publisher = {Springer Verlag},
isbn = {978-3-540-72902-0},
pages = {138--147},
abstract = {Spatial relations play a crucial role in model-based image
recognition and interpretation due to their stability
compared to many other image appearance characteristics.
Graphs are well adapted to represent such information.
Sequential methods for knowledge-based recognition of
structures require to define in which order the structures
have to be recognized. We propose to address this problem
of order definition by developing algorithms that
automatically deduce sequential segmentation paths from
fuzzy spatial attribute graphs. As an illustration, these
algorithms are applied on brain image understanding.}
}