Integration of the saliency-based seed extraction and random walks for image segmentation

@article{Qin2014IntegrationOT,
  title={Integration of the saliency-based seed extraction and random walks for image segmentation},
  author={Chanchan Qin and Guoping Zhang and Yicong Zhou and Wenbing Tao and Zhiguo Cao},
  journal={Neurocomputing},
  year={2014},
  volume={129},
  pages={378-391}
}
In this paper, a novel automatic image segmentation method is proposed. To extract the foreground of the image automatically, we combine the region saliency based on entropy rate superpixel (RSBERS) with the affinity propagation clustering algorithm to get seeds in an unsupervised manner, and use random walks method to obtain the segmentation results. The RSBERS first applies entropy rate superpixel segmentation method to split the image into compact, homogeneous and similar-sized regions, and… CONTINUE READING
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