Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration

@article{Alpert2012ImageSB,
  title={Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration},
  author={Sharon Alpert and Meirav Galun and Achi Brandt and Ronen Basri},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2012},
  volume={34},
  pages={315-327}
}
We present a bottom-up aggregation approach to image segmentation. Beginning with an image, we execute a sequence of steps in which pixels are gradually merged to produce larger and larger regions. In each step we consider pairs of adjacent regions and provide a probability measure to assess whether or not they should be included in the same segment. Our probabilistic formulation takes into account intensity and texture distributions in a local area around each region. It further incorporates… CONTINUE READING
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