A new minimum variance region growing algorithm for image segmentation

@article{RevolMuller1997ANM,
  title={A new minimum variance region growing algorithm for image segmentation},
  author={Chantal Revol-Muller and Michel Jourlin},
  journal={Pattern Recognition Letters},
  year={1997},
  volume={18},
  pages={249-258}
}
Region growing is a very useful technique for image segmentation. Its efficiency mainly depends on its aggregation criterion. In the present paper, a new algorithm is proposed with a homogeneity criterion based on an adequate tuning between spatial neighbourhood and histogram neighbourhood. It differs from other techniques by reconsidering the pixel (or voxel) assignments on each step by a process which minimizes variance through special dilations. Thus, the region created by an initial seed… CONTINUE READING

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