RT Book, Section
T1 An Improved Iterative Binary Coloring Procedure for Color Image Segmentation
A1 Montero De Juan, Francisco Javier
A1 Muñoz López, Susana
A1 Gómez González, Daniel
A2 Wang, Yinglin
A2 Li, Tianrui
AB 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.
PB Springer
YR 2012
FD 2012
LK https://hdl.handle.net/20.500.14352/45537
UL https://hdl.handle.net/20.500.14352/45537
LA eng
NO 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)
NO Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)
DS Docta Complutense
RD 20 abr 2025