@InProceedings{VargasBelizarioBati:2020:MuGrLa,
               author = "Vargas Belizario, Ivar and Batista Neto, Joao",
          affiliation = "{University of S{\~a}o Paulo} and {University of S{\~a}o 
                         Paulo}",
                title = "Multi-level Graph Label Propagation for Image Segmentation",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "image segmentation, label propagation, complex networks.",
             abstract = "This article introduces a multi-level automatic image segmentation 
                         method based on graphs and Label Propagation (LP), originally 
                         proposed for the detection of communities in complex networks, 
                         namely MGLP. To reduce the number of graph nodes, a super-pixel 
                         strategy is employed, followed by the computation of color 
                         descriptors. Segmentation is achieved by a deterministic 
                         propagation of vertex labels at each level. Several experiments 
                         with real color images of the BSDS500 dataset were performed to 
                         evaluate the method. Our method outperforms related strategies in 
                         terms of segmentation quality and processing time. Considering the 
                         Covering metric for image segmentation quality, for example, MGLP 
                         outperforms LPCI-SP, its most similar counterpart, in 38.99%. In 
                         term of processing times, MGLP is 1.07 faster than LPCI-SP.",
  conference-location = "Porto de Galinhas (virtual)",
      conference-year = "7-10 Nov. 2020",
                  doi = "10.1109/SIBGRAPI51738.2020.00034",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00034",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/43B52AP",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43B52AP",
           targetfile = "117.pdf",
        urlaccessdate = "2024, Dec. 02"
}