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Image segmentation based on statistical confidence intervals

Author
Buenestado, P.; Acho, L.
Type of activity
Journal article
Journal
Entropy: international and interdisciplinary journal of entropy and information studies
Date of publication
2018-01-11
Volume
20
Number
46
First page
1
Last page
12
DOI
https://doi.org/10.3390/e20010046 Open in new window
Project funding
Diseño de estratégias avanzadas de control y detección de fallos para sistemas mecatrónicos complejos.
Repository
http://hdl.handle.net/2117/112700 Open in new window
URL
http://www.mdpi.com/1099-4300/20/1/46 Open in new window
Abstract
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...
Citation
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.
Keywords
Otsu segmentation, filtering, image segmentation, speckle noise., statistical confidence interval
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

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