@InProceedings{VasconcelosALRACPS:2018:EvSeMe,
               author = "Vasconcelos, Gustavo Jos{\'e} Querino de and Antonieti, Giovanna 
                         and Libel, Gustavo and Rosa, Paola and Archilha, Nathaly and 
                         Carvalho, Tiago and Pedrini, Helio and Spina, Thiago Vallin",
          affiliation = "{Institute of Computing - UNICAMP} and {Brazilian Synchrotron 
                         Light Laboratory} and {Federal University of Technology - UTFPR} 
                         and {Brazilian Synchrotron Light Laboratory} and {Brazilian 
                         Synchrotron Light Laboratory} and IFSP and {Institute of Computing 
                         - UNICAMP} and {Brazilian Synchrotron Light Laboratory}",
                title = "Evaluation of segmentation methods based on classification 
                         patterns for micro-tomography applications in rock analysis",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "tomography, superpixel, rock, pores.",
             abstract = "4D micro and nanotomography allows the study of time-resolved 
                         phenomena, such as understanding how water, oil, and gas interact 
                         within rock pore space to improve oil engineering. This category 
                         of experiment has only become possible due to the invention of 
                         powerful devices such as the MOGNO micro and nano-tomography 
                         beamline of Sirius, the new state-of-the-art Brazilian synchrotron 
                         light source. Nowadays, the biggest bottleneck for data analysis 
                         in this type of experiment is the image segmentation task, given 
                         that MOGNO may generate one 3.6 gigavoxels 3D image in 1-5s. To 
                         achieve near real-time image segmentation in the future and reduce 
                         manual processing, we propose to convert the image segmentation 
                         task into superpixel classification. We have evaluated different 
                         combinations of superpixel estimation algorithms, feature 
                         extraction filters, and pattern classifiers aiming to 
                         automatically segment the pore space in 3D micro-CT rock grain 
                         images.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "29 Oct.-1 Nov. 2018",
             language = "en",
                  ibi = "8JMKD3MGPAW/3S3N6B5",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3S3N6B5",
           targetfile = "SIBGRAPI_WIP_2018.pdf",
        urlaccessdate = "2024, May 04"
}