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An Improved Iterative Binary Coloring Procedure for Color Image Segmentation

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Montero, Javier and Muñoz, Susana and Gómez, D. (2012) An Improved Iterative Binary Coloring Procedure for Color Image Segmentation. In Foundations of intelligent systems. Advances in Intelligent and Soft Computing, II (122). Springer, Berlin, pp. 635-640.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-25664-6_74


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Abstract

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.


Item Type:Book Section
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Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)

Uncontrolled Keywords:Segmentation techniques; Graph theory; Decision support systems.
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:28627
Deposited On:20 Feb 2015 11:40
Last Modified:18 Apr 2016 17:29

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