COLOR IMAGE SEGMENTATION BY GRAVITATIONAL CLUSTERING IN COLOR SPACE USING NEIGHBOR-RELATIONSHIP
Hwang-soo Kim, Hwajeong Lee
2005
Abstract
In this paper, we propose a color image segmentation method based on gravitational clustering using neighbor relations in the spatial domain and distance information in RGB space among pixels. Most clustering-based segmentation algorithms use only color space distances after pixels are mapped from the spatial domain to color space, ignoring their neighbor relations; but we use both information. We use gravitational clustering, which imitates the Law of Gravity, and the gravitational force is applied only to neighboring clusters. The results show that the proposed method is effective in finding exact boundaries of regions.
DownloadPaper Citation
in Harvard Style
Kim H. and Lee H. (2005). COLOR IMAGE SEGMENTATION BY GRAVITATIONAL CLUSTERING IN COLOR SPACE USING
NEIGHBOR-RELATIONSHIP . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 270-275. DOI: 10.5220/0001161602700275
in Bibtex Style
@conference{icinco05,
author={Hwang-soo Kim and Hwajeong Lee},
title={COLOR IMAGE SEGMENTATION BY GRAVITATIONAL CLUSTERING IN COLOR SPACE USING
NEIGHBOR-RELATIONSHIP},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={270-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001161602700275},
isbn={972-8865-31-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - COLOR IMAGE SEGMENTATION BY GRAVITATIONAL CLUSTERING IN COLOR SPACE USING
NEIGHBOR-RELATIONSHIP
SN - 972-8865-31-7
AU - Kim H.
AU - Lee H.
PY - 2005
SP - 270
EP - 275
DO - 10.5220/0001161602700275