Color image segmentation using density-based clustering

@article{Ye2003ColorIS,
  title={Color image segmentation using density-based clustering},
  author={Qixiang Ye and Wen Gao and Wei Zeng},
  journal={2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).},
  year={2003},
  volume={3},
  pages={III-345}
}
  • Qixiang Ye, Wen Gao, Wei Zeng
  • Published 6 July 2003
  • Computer Science
  • 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
Color image segmentation is an important but still open problem in image processing. [] Key Method To discover the spatial connectivity of the pixels, density-based clustering is employed, which is an effective clustering method used in data mining for discovering spatial databases. The color similarity of the pixels is measured in Munsell (HVC) color space whose perceptual uniformity ensures the color change in the segmented regions is smooth in terms of human perception. Experimental results using the…

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