@InProceedings{LeandroCesaJeli:2001:PrAsMa,
               author = "Leandro, Jorge J. G. and Cesar Jr., Roberto M. and Jelinek, 
                         Herbert F.",
                title = "Blood vessels segmentation in retina: preliminary assessment of 
                         the mathematical morphology and of the wavelet transform 
                         techniques",
            booktitle = "Proceedings...",
                 year = "2001",
               editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
                pages = "84--90",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Florian{\'o}polis, SC, Brazil, from 
                         October 15 to 18.",
             keywords = "biological shape analysis; multiscale methods; retina, 
                         pathology.",
             abstract = "This work reports the development of a system for automatic 
                         analysis of retinal angiographic images. Particularly, we focus on 
                         the segmentation of the blood vessels in these images. We started 
                         by implementing a previously known technique based on mathematical 
                         morphology. Due to some short comings of this method to our data, 
                         we have developed a new approach based on the continuous wavelet 
                         transform using the Morlet wavelet. The main advantage of the 
                         latter with respect to our images lies in its capabilities in 
                         tunning to specific frequencies, thus allowing noise filtering and 
                         blood vessel enhancement in a single step. Furthermore, as we 
                         intend to use shape analysis techniques for the detection and 
                         quantitative characterization of the vascular branching pattern in 
                         the retina, the wavelets will also be with respect performing 
                         fractal and multifractal image analysis. Nevertheless, it is worth 
                         mentioning that the mathematical morphology method was able to 
                         detect finer detail more precisely. Our present results suggest 
                         that an interesting direction to be investigated is how to use 
                         both approaches together in order to obtain better results and 
                         apply this as a diagnositic tool.",
  conference-location = "Florian{\'o}polis, SC, Brazil",
      conference-year = "15-18 Oct. 2001",
                  doi = "10.1109/SIBGRAPI.2001.963041",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963041",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/wiN5C",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wiN5C",
           targetfile = "84-90.pdf",
        urlaccessdate = "2024, Apr. 27"
}