• DocumentCode
    2973968
  • Title

    Boolean decomposition of binary image operators

  • Author

    Madeira, Heraldo Maciel França ; Pedrini, Hélio

  • Author_Institution
    Departamento de Informatica, Univ. Fed. do Parana, Curitiba, Brazil
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    313
  • Lastpage
    318
  • Abstract
    Boolean expansion of binary functions has been used in the representation of binary image operators. This representation scheme induced the creation of image processing architectures based on decision diagrams. In some situations, the application of this graph-based operator over the input images is faster than the corresponding conventional approach, in that the operators are constructively described by means of basic operators and set operations. However, when the conventional architecture exploits the bit parallelism of the microprocessor logical instructions, its performance often surpasses that of the graph-based system. This article proposes a novel approach, in which the decision diagrams guide the actions of the underlying conventional architecture, taking advantage of its parallelism, so that faster image processing can be achieved.
  • Keywords
    Boolean functions; decision diagrams; graph theory; image representation; parallel architectures; performance evaluation; Boolean decomposition; Boolean expansion; binary functions; binary image operator decomposition; bit parallelism; decision diagrams; graph-based operator; image processing architectures; image representation; microprocessor logical instructions; performance; set operations; Boolean functions; Computer architecture; Data structures; Image processing; Microprocessors; Performance evaluation; Pixel; Set theory; Software tools; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
  • ISSN
    1530-1834
  • Print_ISBN
    0-7695-1846-X
  • Type

    conf

  • DOI
    10.1109/SIBGRA.2002.1167160
  • Filename
    1167160