@MastersThesis{HirataJr:1997:SeImMo,
               author = "Hirata Junior, Roberto",
                title = "Segmenta{\c{c}}{\~a}o de Imagens por Morfologia 
                         Matem{\'a}tica",
               school = "Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP",
                 year = "1997",
              address = "S{\~a}o Paulo",
                month = "1997-03",
                 note = "This work has been supported by ProTeM-CC/CNPq through the 
                         AnIMoMat project, contract 680067/94-9.",
             keywords = "mathematical morphology, image segmentation, image analysis, fast 
                         algorithms.",
             abstract = "This work shows what segmentation is and how to segment an image 
                         using Mathematical Morphology (\MM). It begins by introducing the 
                         subject segmentation by the classical approach and then by the 
                         morphological one. A short introduction to \MM is given and then 
                         two morphological approaches are given for segmentation: an 
                         heuristic and a non-heuristic one. The equivalence between the 
                         classical and the morphological approaches is shown and several 
                         illustrative examples of the morphological approach are given. The 
                         work also shows some important fast algorithms which simulate some 
                         of the operators used in the segmentations and how to use them to 
                         segment images. Finally it shows how to use the ideas behind the 
                         fast algorithms to implement efficiently the elementary operations 
                         and operators of \MM so other complex operators can be 
                         implemented more efficiently than before. Some experimental 
                         results are shown to verify this assumption.",
         englishtitle = "Image segmentation by Mathematical Morphology",
             language = "pt",
           targetfile = "vfinal.pdf",
        urlaccessdate = "30 abr. 2024"
}