Back to Search
Start Over
Segmentation of Noisy Discrete Surfaces
- Source :
- Pattern Recognition, 12th International Workshop on Combinatorial Image Analysis, IWCIA 2008, IWCIA 2008, Apr 2008, Buffalo, NY, United States. pp.160-171, ⟨10.1007/978-3-540-78275-9_14⟩, Lecture Notes in Computer Science ISBN: 9783540782742, IWCIA
- Publication Year :
- 2008
- Publisher :
- HAL CCSD, 2008.
-
Abstract
- International audience; We propose in this paper a segmentation process that can deal with noisy discrete objects. A flexible approach considering arithmetic discrete planes with a variable width is used to avoid the over-segmentation that might happen when classical segmentation algorithms based on regular discrete planes are used to decompose the surface of the object. A method to choose a seed and different segmentation strategies according to the shape of the surface are also proposed.
- Subjects :
- Surface (mathematics)
business.industry
Segmentation-based object categorization
Process (computing)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
020207 software engineering
Pattern recognition
02 engineering and technology
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
Variable (computer science)
Segmentation
Noisy discrete objects
0202 electrical engineering, electronic engineering, information engineering
lambda-connectedness
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Blurred pieces of discrete planes
business
Normal
Mathematics
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-540-78274-2
- ISSN :
- 00313203
- ISBNs :
- 9783540782742
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition, 12th International Workshop on Combinatorial Image Analysis, IWCIA 2008, IWCIA 2008, Apr 2008, Buffalo, NY, United States. pp.160-171, ⟨10.1007/978-3-540-78275-9_14⟩, Lecture Notes in Computer Science ISBN: 9783540782742, IWCIA
- Accession number :
- edsair.doi.dedup.....508d7aa5d9d9a0faa5b9dff9b1fd7fcc
- Full Text :
- https://doi.org/10.1007/978-3-540-78275-9_14⟩