A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering

@article{Rezaee2000AMI,
  title={A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering},
  author={M. Ramze Rezaee and Pieter M. J. van der Zwet and Boudewijn P. F. Lelieveldt and Rob J. van der Geest and Johan H. C. Reiber},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2000},
  volume={9 7},
  pages={1238-48}
}
In this paper, an unsupervised image segmentation technique is presented, which combines pyramidal image segmentation with the fuzzy c-means clustering algorithm. Each layer of the pyramid is split into a number of regions by a root labeling technique, and then fuzzy c-means is used to merge the regions of the layer with the highest image resolution. A cluster validity functional is used to find the optimal number of objects automatically. Segmentation of a number of synthetic as well as… CONTINUE READING