Cellular Skeletons: A New Approach to Topological Skeletons with Geometric Features

This paper introduces a new kind of skeleton for binary volumes called the cellular skeleton. This skeleton is not a subset of voxels of a volume nor a subcomplex of a cubical complex: it is a chain complex together with a reduction from the original complex. Starting from the binary volume we build...

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Detalles Bibliográficos
Autores: González Lorenzo, Aldo, Bac, Alexandra, Mari, Jean-Luc, Real Jurado, Pedro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/38709
Acceso en línea:http://hdl.handle.net/11441/38709
https://doi.org/10.1007/978-3-319-23117-4_53
Access Level:acceso abierto
Palabra clave:Artificial Intelligence (incl. Robotics)
Information Systems Applications (incl. Internet)
Computation by Abstract Devices
Database Management
Information Storage and Retrieval
Computer Imaging
Vision
Pattern Recognition and Graphics
Descripción
Sumario:This paper introduces a new kind of skeleton for binary volumes called the cellular skeleton. This skeleton is not a subset of voxels of a volume nor a subcomplex of a cubical complex: it is a chain complex together with a reduction from the original complex. Starting from the binary volume we build a cubical complex which represents it regarding 6 or 26-connectivity. Then the complex is thinned using the proposed method based on elementary collapses, which preserves significant geometric features. The final step reduces the number of cells using Discrete Morse Theory. The resulting skeleton is a reduction which preserves the homology of the original complex and the geometrical information of the output of the previous step. The result of this method, besides its skeletonization content, can be used for computing the homology of the original complex, which usually provides well shaped homology generators.