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Zeitschriftenartikel:

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



Kurzfassung englisch:
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.

Schlagworte:
Local binary patternsIrregular graph pyramidPrimal and dual graphTopological characterizationImage segmentation


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/s00138-016-0795-1

Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_252971.pdf


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.