@InProceedings{PilcoLeit:2016:ImAp,
               author = "Pilco, Darwin Danilo Saire and Leite, Neucimar Jer{\^o}nimo",
          affiliation = "{University of Campinas} and {University of Campinas}",
                title = "Multi-scale Morphological Image Simplification Based on Extrema 
                         Relationships: Improvements and Applications",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "image simplification, scale-space, mathematical morphology, 
                         regional extrema.",
             abstract = "Image simplification has been proved useful in several image 
                         processing applications as an additional step for more complex 
                         tasks, such as segmentation and feature extraction. In this work, 
                         we explore a graph-based simplification method that guarantees a 
                         well-behaved suppression of the image extrema (maxima/minima) by 
                         taking into account both information of distance and contrast, as 
                         well as some interesting aspects of the scale-space theory. By 
                         highlighting some new properties of the method, we define a local 
                         update of the graph which implies in an interesting bypass in the 
                         whole algorithm structure which, originally, is very 
                         time-consuming. Finally, we illustrate how to combine this 
                         simplification process with well-known morphological tools to 
                         approach problems related mainly with multi-scale image 
                         segmentation and homogenization.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.051",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.051",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M4AM52",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M4AM52",
           targetfile = "PID4344531.pdf",
        urlaccessdate = "2024, May 02"
}