2026-06-27T16:07:38Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/455372024-11-26T15:21:54Zcom_20.500.14352_14col_20.500.14352_21
Docta Complutense
author
Montero De Juan, Francisco Javier
author
Muñoz López, Susana
author
Gómez González, Daniel
editor
Wang, Yinglin
editor
Li, Tianrui
2023-06-20T05:46:28Z
2023-06-20T05:46:28Z
2012
Montero, J., Muñoz, S., Gómez, D.: An Improved Iterative Binary Coloring Procedure for Color Image Segmentation. En: Wang, Y. y Li, T. (eds.) Foundations of Intelligent Systems. pp. 635-640. Springer Berlin Heidelberg, Berlin, Heidelberg (2011)
10.1007/978-3-642-25664-6_74
https://hdl.handle.net/20.500.14352/45537
https//doi.org/10.1007/978-3-642-25664-6_74
http://link.springer.com/chapter/10.1007%2F978-3-642-25664-6_74
n this work we present an improvement on an iterative binary coloring procedure for image segmentation taken from the literature. We introduce some modifications in the way of dealing with the so-called inconsistent pixels, and we show the results obtained by applying both procedures to a satellite image of the province of Seville. The computational experience that we have performed shows that, in general, the modified procedure leads to images of similar or better quality than the ones obtained by the original procedure, as well as to a significant reduction of the number of final regions.
eng
An Improved Iterative Binary Coloring Procedure for Color Image Segmentation
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