author = "Farias, Renato and Farias, Ricardo and Marroquim, Ricardo and 
                         Clua, Esteban",
          affiliation = "{Universidade Federal do Rio de Janeiro} and {Universidade Federal 
                         do Rio de Janeiro} and {Universidade Federal do Rio de Janeiro} 
                         and {Universidade Federal Fluminense}",
                title = "Parallel image segmentation using reduction-sweeps on multicore 
                         processors and GPUs",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva, 
         organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Image segmentation, computer vision, GPU programming, parallel 
             abstract = "In this paper we introduce the Reduction Sweep algorithm, a novel 
                         graph-based image segmentation algorithm that is designed for easy 
                         parallelization. It is based on a clustering approach focusing on 
                         local image characteristics. Each pixel is compared with its 
                         neighbors in an implicitly independent manner, and those deemed 
                         sufficiently similar according to a color criterion are joined. We 
                         achieve fast execution times while still maintaining the visual 
                         quality of the results. The algorithm is presented in four 
                         different implementations: sequential CPU, parallel CPU, GPU, and 
                         hybrid CPU-GPU. We compare the execution times of the four 
                         versions with each other and with other closely related image 
                         segmentation algorithms.",
  conference-location = "Arequipa, Peru",
      conference-year = "Aug. 5-8, 2013",
             language = "en",
           targetfile = "sibgrapi-camera-ready-no-bookmarks.pdf",
        urlaccessdate = "2020, Nov. 28"