Noise Robustness of Irregular Graph Pyramids using LBP and Combinatorial Maps

Christoph Körner; Ines Janusch; Walter Kropatsch

Noise Robustness of Irregular Graph Pyramids using LBP and Combinatorial Maps

Christoph Körner
, Ines Janusch
, Walter Kropatsch

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

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.

Originalsprache	Englisch
Titel	Vision Meets Robotics, Proceedings of the ÖAGM Workshop 2016
Herausgeber*innen	Kurt Niel, Willhelm Burger
Seiten	101-108
Seitenumfang	8
Publikationsstatus	Veröffentlicht - 2016
Extern publiziert	Ja

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BT - Vision Meets Robotics, Proceedings of the ÖAGM Workshop 2016

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