Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions

@article{LapuyadeLahorgue2017SegmentingMI,
  title={Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions},
  author={J. Lapuyade-Lahorgue and Jing-Hao Xue and S. Ruan},
  journal={IEEE Transactions on Image Processing},
  year={2017},
  volume={26},
  pages={3187-3195}
}
  • J. Lapuyade-Lahorgue, Jing-Hao Xue, S. Ruan
  • Published 2017
  • Mathematics, Medicine, Computer Science
  • IEEE Transactions on Image Processing
  • Nowadays, multi-source image acquisition attracts an increasing interest in many fields, such as multi-modal medical image segmentation. Such acquisition aims at considering complementary information to perform image segmentation, since the same scene has been observed by various types of images. However, strong dependence often exists between multi-source images. This dependence should be taken into account when we try to extract joint information for precisely making a decision. In order to… CONTINUE READING

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