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Region merging techniques using information theory statistical measures

Autor
Calderero, F.; Marques, F.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on image processing
Data de publicació
2010-06
Volum
19
Número
6
Pàgina inicial
1567
Pàgina final
1586
DOI
https://doi.org/10.1109/TIP.2010.2043008 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/7488 Obrir en finestra nova
URL
http://www.dfmf.uned.es/~daniel/www-imagen-dhp/biblio/region-merging-information.pdf Obrir en finestra nova
Resum
Abstract—The purpose of the current work is to propose, under a statistical framework, a family of unsupervised region merging techniques providing a set of the most relevant region-based explanations of an image at different levels of analysis. These techniques are characterized by general and nonparametric region models, with neither color nor texture homogeneity assumptions, and a set of innovative merging criteria, based on information theory statistical measures. The scale consistency of ...
Citació
Calderero, F.; Marques, F. Region merging techniques using information theory statistical measures. "IEEE transactions on image processing", Juny 2010, vol. 19, núm. 6, p. 1567-1586.
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

Arxius