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Image segmentation based on statistical confidence intervals

Autor
Buenestado, P.; Acho, L.
Tipus d'activitat
Article en revista
Revista
Entropy: international and interdisciplinary journal of entropy and information studies
Data de publicació
2018-01-11
Volum
20
Número
46
Pàgina inicial
1
Pàgina final
12
DOI
https://doi.org/10.3390/e20010046 Obrir en finestra nova
Projecte finançador
Diseño de estratégias avanzadas de control y detección de fallos para sistemas mecatrónicos complejos.
Repositori
http://hdl.handle.net/2117/112700 Obrir en finestra nova
URL
http://www.mdpi.com/1099-4300/20/1/46 Obrir en finestra nova
Resum
Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According to our numerical experiments, our method has a dissimilar performance in comparison to the standard Otsu...
Citació
Buenestado, P., Acho, L. Image segmentation based on statistical confidence intervals. "Entropy: international and interdisciplinary journal of entropy and information studies", 11 Gener 2018, vol. 20, núm. 46, p. 1-12.
Paraules clau
Otsu segmentation, filtering, image segmentation, speckle noise., statistical confidence interval
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions
STH - Sostenibilitat, Tecnologia i Humanisme

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