Fast neighborhood operations for images and volume datasets
This paper presents a new approach to carry out erosion, dilation and connected component labeling. We use the Extreme Vertices Model (EVM), an orthogonal polyhedra representation, to describe binary images and volume datasets in a very efficient way. Our proposal does not use a voxel-based approach...
| Autores: | , |
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| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2003 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/97390 |
| Acceso en línea: | https://hdl.handle.net/2117/97390 |
| Access Level: | acceso abierto |
| Palabra clave: | Extreme Vertices Model EVM Fast neighborhood operations Images and volumes datasets Morfological operations Connected component labeling Non-manifold zones Àrees temàtiques de la UPC::Informàtica |
| Sumario: | This paper presents a new approach to carry out erosion, dilation and connected component labeling. We use the Extreme Vertices Model (EVM), an orthogonal polyhedra representation, to describe binary images and volume datasets in a very efficient way. Our proposal does not use a voxel-based approach but deals with the inner sections of the object. It allows to treat images and volumes indistinctly using the same algorithm and data structure with no overhead of memory and can be applied to manifold as well as non-manifold data. The connected component labeling algorithm actually detects non-manifold zones and permits to break or not the objects at these zones by an user-specified parameter. |
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