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Communication Dans Un Congrès Année : 2014

A new energy model for the Hidden Markov Random Fields

Résumé

In this article we propose a modification to the HMRF-EM framework applied to image segmentation. To do so, we introduce a new model for the neighborhood energy function of the Hidden Markov Random Fields model based on the Hidden Markov Model formalism. With this new energy model, we aim at (1) avoiding the use of a key parameter chosen empirically on which the results of the current models are heavily relying, (2) proposing an information rich modelisation of neighborhood relationships.
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Dates et versions

hal-01565549 , version 1 (19-07-2017)

Identifiants

  • HAL Id : hal-01565549 , version 1
  • PRODINRA : 399093
  • WOS : 000432982300008

Citer

Antoine Cornuéjols, Jérémie Sublime, Younes Bennani. A new energy model for the Hidden Markov Random Fields. 21. International Conference on Neural Information Processing (ICONIP 2014), Nov 2014, kuching, Malaysia. ⟨hal-01565549⟩
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