An improved iterative binary coloring procedure for color image segmentation

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Abstract

In 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. © 2011 Springer-Verlag Berlin Heidelberg.

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Montero, J., Muñoz, S., & Gómez, D. (2011). An improved iterative binary coloring procedure for color image segmentation. In Advances in Intelligent and Soft Computing (Vol. 122, pp. 635–640). https://doi.org/10.1007/978-3-642-25664-6_74

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