Evaluation of Color Spaces for Robust Image Segmentation

A. Jungmann, J. Jatzkowski, B. Kleinjohann, in: Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP), 2014, pp. 648–655.

Download
Restricted 425-visapp2014-camera-ready.pdf 6.36 MB
Conference Paper
Author
; ;
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.
Publishing Year
Proceedings Title
Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP)
Page
648-655
LibreCat-ID

Cite this

Jungmann A, Jatzkowski J, Kleinjohann B. Evaluation of Color Spaces for Robust Image Segmentation. In: Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP). ; 2014:648-655.
Jungmann, A., Jatzkowski, J., & Kleinjohann, B. (2014). Evaluation of Color Spaces for Robust Image Segmentation. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP) (pp. 648–655).
@inproceedings{Jungmann_Jatzkowski_Kleinjohann_2014, title={Evaluation of Color Spaces for Robust Image Segmentation}, booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP)}, author={Jungmann, Alexander and Jatzkowski, Jan and Kleinjohann, Bernd}, year={2014}, pages={648–655} }
Jungmann, Alexander, Jan Jatzkowski, and Bernd Kleinjohann. “Evaluation of Color Spaces for Robust Image Segmentation.” In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP), 648–55, 2014.
A. Jungmann, J. Jatzkowski, and B. Kleinjohann, “Evaluation of Color Spaces for Robust Image Segmentation,” in Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP), 2014, pp. 648–655.
Jungmann, Alexander, et al. “Evaluation of Color Spaces for Robust Image Segmentation.” Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP), 2014, pp. 648–55.
Main File(s)
File Name
425-visapp2014-camera-ready.pdf 6.36 MB
Access Level
Restricted Closed Access
Last Uploaded
2018-03-16T11:32:35Z


Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar