Montero De Juan, Francisco JavierMuñoz López, SusanaGómez González, DanielWang, YinglinLi, Tianrui2023-06-202023-06-202012Montero, 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_74https://hdl.handle.net/20.500.14352/45537Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)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.engbook parthttps//doi.org/10.1007/978-3-642-25664-6_74http://link.springer.com/chapter/10.1007%2F978-3-642-25664-6_74restricted access519.22Segmentation techniquesGraph theoryDecision support systemsEstadística matemática (Matemáticas)1209 Estadística