Generalized Map Pyramid for Multi-level 3D Image Segmentation
| Autor: | Carine Grasset-Simon, Guillaume Damiand |
|---|---|
| Přispěvatelé: | SIGNAL-IMAGE-COMMUNICATION (SIC), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Degree (graph theory)
Computer science business.industry Dimension (graph theory) [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] Discrete geometry 020207 software engineering Image processing 02 engineering and technology Image segmentation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Pyramid 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) 020201 artificial intelligence & image processing Computer vision Segmentation Inter-voxel elements Artificial intelligence 10. No inequality business Generalized map Irregular image pyramid Hierarchical segmentation |
| Zdroj: | Lecture Notes in Computer Science 13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006) 13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006), Oct 2006, Szeged, Hungary. pp.530-541, ⟨10.1007/11907350_45⟩ Scopus-Elsevier Discrete Geometry for Computer Imagery ISBN: 9783540476511 DGCI |
| DOI: | 10.1007/11907350_45⟩ |
| Popis: | International audience; Graph pyramids are often used to represent an image with various levels of details. Generalized pyramids have been recently defined in order to deal with images in any dimension. In this work, we show how to use generalized pyramids to represent 3D multi-level segmented images. We show how to construct such a pyramid, by alternating segmentation and simplification steps. We present how cells to be removed are marked: by using an homogeneous criterion to mark faces and the cell degree to mark other cells. When the pyramid is constructed, the main problem consists in retrieving information on regions. In this work, we show how to retrieve two types of information. The first one is the low level cells that are merged into a unique high level cell. The second one is the inter-voxel cells that compose a given region. |
| Databáze: | OpenAIRE |
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