Contributions to Proceedings:
R. González-Díaz, W. Kropatsch, M. Cerman, J. Lamar:
"Characterizing configurations of critical points through lbp.";
in: "Proceedings of the 5th International Workshop on Computational Topology in Image Context 2014",
D. Onchis, P. Real Jurado (ed.);
issued by: Darian M. Onchis and Pedro Real Jurado;
Proceedings of the 5th International Workshop on Computational Topology in Image Context 2014,
Timisoara, Romania, September 2014,
In this abstract we extend ideas and results submit-
ted to  in which a new codification of Local Binary Patterns
(LBP) is given using combinatorial maps and a method for
obtaining a representative LBP image is developed based on
merging regions and Minimum Contrast Algorithm. The LBP
code characterizes the topological category (max, min, slope,
saddle) of the 2D gray level landscape around the center region.
We extend the result studying how to merge non-singular slopes
with one of its neighbors and how to extend the results to non-
well formed images/maps. Some ideas related to robust LBP and
isolines are also given in last section.
ocal binary patterns, critical points, combinatorial mapsocal binary patterns, critical points, combinatorial mapsl
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