· 1 papers

A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation

E. Cahuina, J. Cousty, S. Guimar\~aes, Y. Kenmochi, G. Ch\'avez, A. de Albuquerque Ara\'ujo

Citation:
E. Cahuina, J. Cousty, S. Guimar\~aes, Y. Kenmochi, G. Ch\'avez, A. de Albuquerque Ara\'ujo. A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation. Discrete Geometry for Computer Imagery - 21st {IAPR} International Conference, {DGCI} 2019, Marne-la-Vall{\'{e}}e, France, March 26-28, 2019, Proceedings. pages: 167--179. 2019.

BibTeX URL

 @inproceedings{ DBLP:conf/dgci/CahuinaCGKCA19,
   author    = "E. Cahuina and  J. Cousty and  S. Guimar{\~{a}}es and  Y. Kenmochi and  G. Ch{\'{a}}vez and  A. de Albuquerque Ara{\'{u}}jo",
   title     = "A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation",
   booktitle = "Discrete Geometry for Computer Imagery - 21st {IAPR} International Conference, {DGCI} 2019, Marne-la-Vall{\'{e}}e, France, March 26-28, 2019, Proceedings",
   pages     = "167--179",
   url       = "https://doi.org/10.1007/978-3-030-14085-4\_14",
   year      = "2019",
 }