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@InProceedings{BorgesHamSilVieOli:2015:HiAcLe,
               author = "Borges, Vinicius Ruela Pereira and Hamman, Bernd and Silva, Thais 
                         Garcia and Vieira, Armando Augusto Henriques and Oliveira, Maria 
                         Cristina Ferreira de",
          affiliation = "{University of Sao Paulo} and University of California, Davis and 
                         {Federal University of Sao Carlos} and {Federal University of Sao 
                         Carlos} and {University of Sao Paulo}",
                title = "A Highly Accurate Level Set Approach for Segmenting Green 
                         Microalgae Images",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "edge detection, Gaussian distribution, green microalgae, image 
                         segmentation, level set.",
             abstract = "We present a method for segmenting 2D microscopy images of 
                         freshwater green microalgae. Our approach is based on a 
                         specialized level set method, leading to efficient and highly 
                         accurate algae segmentation. The level set formulation of our 
                         problem allows us to generate an algae's boundary curve as the 
                         result of an evolving level curve, based on computed background 
                         and algae regions in a given image. By characterizing the 
                         distributions of image intensity values in local regions, we are 
                         able to automatically classify image regions into background and 
                         algae regions. We present results obtained with our method. These 
                         results are very promising as they document that we can achieve 
                         highly accurate algae segmentations when comparing ours against 
                         manually segmented images (segmented by an expert biologist) and 
                         with results derived by other approaches covered in the 
                         literature.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
           targetfile = "PID3769253.pdf",
        urlaccessdate = "2021, Dec. 03"
}


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