Image Segmentation from Consensus Information

@article{Cho1997ImageSF,
  title={Image Segmentation from Consensus Information},
  author={Kyujin Cho and Peter Meer},
  journal={Computer Vision and Image Understanding},
  year={1997},
  volume={68},
  pages={72-89}
}
A new approach toward image segmentation is proposed. A guide the fusion process [21]. set of slightly different segmentations is derived from the same The difficulty of segmentation is an aspect of the local/ input and the final result is based on the consensus among them. global duality problem. A region is declared homogeneous The perturbations are introduced by exploiting the probabilistic by analyzing small local neighborhoods. The larger these component of a region adjacency graph (RAG… CONTINUE READING
Highly Cited
This paper has 95 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 57 extracted citations

95 Citations

051015'98'02'07'12'17
Citations per Year
Semantic Scholar estimates that this publication has 95 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Computer and Robot Vision, 2 volumes, Addison–Wesley

  • R. M. Haralick, L. G. Shapiro
  • 1992
Highly Influential
6 Excerpts

Cooperative Processes in Computer Visions

  • K. Cho
  • Ph.D. thesis, Department of Electrical…
  • 1995
2 Excerpts

Quantitative evaluation of performance through bootstrapping

  • K. Cho, P. Meer, J. Cabrera
  • Edge detection,
  • 1995
1 Excerpt

Similar Papers

Loading similar papers…