Evaluation of Color Spaces for Robust Image Segmentation

Alexander Jungmann, Jan Jatzkowski, Bernd Kleinjohann

2014

Abstract

In this paper, we evaluate the robustness of our color-based segmentation approach in combination with different color spaces, namely RGB, L*a*b*, HSV, and log-chromaticity (LCCS). For this purpose, we describe our deterministic segmentation algorithm including its gradually transformation of pixel-precise image data into a less error-prone and therefore more robust statistical representation in terms of moments. To investigate the robustness of a specific segmentation setting, we introduce our evaluation framework that directly works on the statistical representation. It is based on two different types of robustness measures, namely relative and absolute robustness. While relative robustness measures stability of segmentation results over time, absolute robustness measures stability regarding varying illumination by comparing results with ground truth data. The significance of these robustness measures is shown by evaluating our segmentation approach with different color spaces. For the evaluation process, an artificial scene was chosen as representative for application scenarios based on artificial landmarks.

Paper Citation

in Harvard Style

Jungmann A., Jatzkowski J. and Kleinjohann B. (2014). Evaluation of Color Spaces for Robust Image Segmentation . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 648-655. DOI: 10.5220/0004743406480655

in Bibtex Style

@conference{visapp14,
author={Alexander Jungmann and Jan Jatzkowski and Bernd Kleinjohann},
title={Evaluation of Color Spaces for Robust Image Segmentation},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={648-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004743406480655},
isbn={978-989-758-003-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Evaluation of Color Spaces for Robust Image Segmentation
SN - 978-989-758-003-1
AU - Jungmann A.
AU - Jatzkowski J.
AU - Kleinjohann B.
PY - 2014
SP - 648
EP - 655
DO - 10.5220/0004743406480655