author = "Zampirolli, Francisco de Assis and Lottufo, Roberto de Alencar",
                title = "Classification of the distance transformation algorithms under the 
                         mathematical morphology approach",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "292--299",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
             keywords = "image processing,distance transformation algorithm 
                         classification,mathematical morphology,binary image,distance 
                         metric,parallel algorithms,sequential raster 
                         algorithms,propagation algorithms,computer architectures, image 
             abstract = "The distance transform (DT) is a morphological erosion of the 
                         binary image by a given structuring function, that dictates the 
                         distance metric in the transformation. There are many known 
                         algorithms and structuring function decompositions to efficiently 
                         implement a morphological erosion. Most of the erosion algorithms 
                         are classified as parallel, sequential raster (and anti-raster), 
                         and propagation. Based on this classification and decomposition, 
                         we review and classify most of the DT algorithms reported in the 
                         literature. As a result of this study, we have contributed not 
                         only to better classify and understand the diversity of the DT 
                         algorithms in the literature, but also to create a collection of 
                         efficient erosion algorithms suitable to different computer 
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "292-299.pdf",
        urlaccessdate = "2020, Nov. 26"