Talks and Poster Presentations (with Proceedings-Entry):
C. Körner, I. Janusch, W. Kropatsch:
"Noise Robustness of Irregular Graph Pyramids using LBP and Combinatorial Maps";
Talk: OAGM/AAPR & ARW 2016 Workshop,
Wels, Österreich (invited);
- 2016-05-13; in: "Vision Meets Robotics, Proceedings of the ÖAGM Workshop 2016",
K. Niel, W. Burger (ed.);
In this paper, we briefly introduce the SCIS algorithm - a hierarchical image segmentation approach
based on LBP pyramids - and evaluate its robustness to uniform, Gaussian, and Poisson distributed
additive chromatic noise. Moreover, we study the influence of image properties such as the amount
of details and SNR on the segmentation performance. Our evaluation shows that SCIS is robust to
Gaussian and Poisson noise for our testing environment.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.