@InProceedings{ChiouFerrSilvKauf:1997:WaEnAn,
               author = "Chiou, Rui Chuo Huei and Ferreira, Maria Alice Grigas Varella and 
                         Silva, Claudio T. and Kaufman, Arie E.",
                title = "Wavelet and entropy analysis combination to evaluate diffusion and 
                         correlation behaviors",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
                pages = "119--125",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from 
                         October 13 to 16.",
             abstract = "Diffusion and correlation effects are two principal phenomena 
                         which have been studied for years and several visualization 
                         techniques have been proposed to help scientists to understand 
                         them. The analysis of these phenomena will help to extract 
                         important information from data sets. To understand these problems 
                         we combine wavelet and entropy analysis to evaluate the evolution 
                         of these behaviors through scale and time. We present image case 
                         studies to show several different kinds of behaviors of these 
                         effects. Some of them are fallible cases and not reliable, as the 
                         images do not show the desired information. We calculate entropy 
                         of smooth and detail coefficient sets, generated by wavelet 
                         transform of these sample images in each scale, to obtain measures 
                         that allow us to evaluate these behaviors according to the 
                         organization complexity. These measures can provide an indication 
                         about the quality of the rendered images.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
             language = "en",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZW44Lb/doSGr",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/doSGr",
           targetfile = "art65.pdf",
        urlaccessdate = "2024, May 03"
}