2026-06-01T02:23:44Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/455902024-11-26T14:14:15Zcom_20.500.14352_14col_20.500.14352_21
A Hierarchical Image Segmentation Algorithm
Zarrazola Rivera, Edwin
Yáñez Gestoso, Francisco Javier
Gómez González, Daniel
Montero De Juan, Francisco Javier
Alonso Betanzos, Amparo
Bielza, Concha
Salmerón, Antonio
Duarte, Abraham
Hidalgo, J. Ignacio
Martínez, Luis
Barrenechea, Edurne
Troncoso, Alicia
Corchado, Emilio
Corchado, Juan M.
Herrera, Francisco
Riquelme, José C.
510.5
Clustering
Graph-based segmentation
Cluster evolution
Image segmentation
Matemáticas (Matemáticas)
12 Matemáticas
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.
Depto. de Estadística e Investigación Operativa
Fac. de Ciencias Matemáticas
TRUE
pub
2023-06-20T05:47:13Z
2023-06-20T05:47:13Z
2013
book part
https://hdl.handle.net/20.500.14352/45590
XXXX-XXXX
spa
open access
application/pdf
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