Publications in Scientific Journals:

M. Cerman, I. Janusch, R. González-Díaz, W. Kropatsch:
"Topology-based image segmentation using LBP pyramids";
Machine Vision and Applications, online (2016), 14 pages.

English abstract:
In this paper, we present a new image segmentation algorithm which is based on local binary patterns (LBPs) and the combinatorial pyramid and which preserves structural correctness and image topology. For this purpose, we define a codification of LBPs using graph pyramids. Since the LBP code characterizes the topological category (local max, min, slope, saddle) of the gray level landscape around the center region, we use it to obtain a "minimal" image representation in terms of the topological characterization of a given 2D grayscale image. Based on this idea, we further describe our hierarchical texture aware image segmentation algorithm and compare its segmentation output and the "minimal" image representation.

Local binary patternsIrregular graph pyramidPrimal and dual graphTopological characterizationImage segmentation

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.