@TechReport{MascarenhasPrad:1978:HyTeAp,
               author = "Mascarenhas, Nelson Delfino D'Avila and Prado, Lucila Oliveira da 
                         Costa",
                title = "Edge detection in images: a hypothesis testing approach",
          institution = "Instituto Nacional de Pesquisas Espaciais",
                 year = "1978",
                 type = "RPQ",
               number = "INPE-1194-PE/111",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "image processing, edge detection, statistical decision theory.",
             abstract = "New statistical techniques for the edge detection problem in 
                         images are developed. The image is modeled by signal and noise 
                         which are independent, additive, Gaussian and autorregressive in 
                         two dimensions. The optimal solution, in tens of statistical 
                         decision theory, leads to a test which decides among multiple, 
                         composite, overlapping hypotheses. A computationally attractive 
                         suboptimal test, involving non -overlapping hypotheses, is 
                         proposed. Resulte are presented with simulated data and real cate 
                         lute images. A comparison with standard gradient techniques is 
                         made.",
             language = "en",
                pages = "26",
                  ibi = "8JMKD3MGP3W34R/3UJG3PH",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34R/3UJG3PH",
           targetfile = "INPE-1194.pdf",
        urlaccessdate = "05 maio 2024"
}