A Hierarchical Image Segmentation Algorithm
In this paper, we develop an efficient and polynomial hierarchical clustering (unsupervised classification) algorithm for images. The output of this algorithm shows the clust r evolution in a divisive way: since the first iteration in which all the pixels are in the same group until the last iterati...
| Autores: | , , , |
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| Formato: | capítulo de livro |
| Fecha de publicación: | 2013 |
| País: | España |
| Recursos: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | español |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/45590 |
| Acesso em linha: | https://hdl.handle.net/20.500.14352/45590 |
| Access Level: | acceso abierto |
| Palavra-chave: | 510.5 Clustering Graph-based segmentation Cluster evolution Image segmentation Matemáticas (Matemáticas) 12 Matemáticas |
| Resumo: | In this paper, we develop an efficient and polynomial hierarchical clustering (unsupervised classification) algorithm for images. The output of this algorithm shows the clust r evolution in a divisive way: since the first iteration in which all the pixels are in the same group until the last iteration in which all the pixels belong to a singleton cluster. |
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