author = "Giraldi, Gilson A. and Strauss, Edilberto and Oliveira, Antonio A. 
                title = "A boundary extraction approach based on multi-resolution methods 
                         and the T-Snakes framework",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "82--89",
         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 = "edge detection, boundary extraction approach, multi-resolution 
                         methods, T-Snakes framework, image segmentation, image domain 
                         triangulation, image sampling, low image resolution, image 
                         thresholding, polygonal curves, 2D medical imaging, experimental 
             abstract = "We present a new approach which integrates the T-Snakes model and 
                         a multi-resolution method in a unified framework for segmentation 
                         and boundary extraction. In a first stage, a local scale property 
                         of the objects is used to define a triangulation of the image 
                         domain and a sampling (coarsest resolution) of the image field. 
                         The low resolution image is thresholded to get a 0-1 field which 
                         is processed by a simple continuation method to generate polygonal 
                         curves whose interior contain the desired objects. If the 
                         polygonal curve involves more than one object, then the resolution 
                         is increased in that region and the method will be applied again. 
                         This stage gives a rough approximation of the desired boundaries 
                         which will be improved by the T-Snakes to get the final result. We 
                         demonstrate the method for 2D medical imaging in the experimental 
                         results and indicate how it can be extended to 3D in future 
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "82-89.pdf",
        urlaccessdate = "2020, Nov. 26"