@InProceedings{SilvaLotu:2004:DeLiUs,
               author = "Silva, Alexandre Gon{\c{c}}alves and Lotufo, Roberto de Alencar 
                         Lotufo",
          affiliation = "DCA - FEEC--Faculdade de Engenharia El{\'e}trica e 
                         Computa{\c{c}}{\~a}o - UNICAMP - P.O.Box 6101, 13083-970, 
                         Campinas, SP - Brazil and DCC - CCT--Centro de Ci{\^e}ncias 
                         Tecnol{\'o}gicas - UDESC - P.O.Box 631, 89223-100, Joinville, SC 
                         - Brazil",
                title = "Detection of Lines Using Hierarchical Region Based 
                         Representation",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "detection of line, hierarchical representation, max-tree.",
             abstract = "This paper suggests an hierarchical region based representation to 
                         implement detection of shapes in gray-scale images. The Max-Tree 
                         structure has demonstrated to be useful for this purpose, offering 
                         a semantic objects vision of the image, therefore, reducing the 
                         number of elements to process in relation to the pixel based 
                         representation. In this way, a particular thresholding 
                         information, associated with a specific shape analysis, can be 
                         used to determine the segmentation or filtering of regions of 
                         interest with lesser computational effort. For to demonstrate this 
                         technique, a generic application of detection of lines is proposed 
                         using the distance transform approach on each connected component 
                         from the depth searching in the mentioned tree.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352943",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352943",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D3Rpw",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D3Rpw",
           targetfile = "4489_Silva_A.pdf",
        urlaccessdate = "2024, Apr. 28"
}