• DocumentCode
    3288203
  • Title

    Image algebra: an object oriented approach to transparently concurrent image processing

  • Author

    Angus, I.G.

  • Author_Institution
    Boeing Comput. Services, Seattle, WA, USA
  • fYear
    1992
  • fDate
    26-29 Apr 1992
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    The image algebra formalism provides a succinct high level algebraic method of describing many image processing algorithms. By exploiting this formalism it is possible to map the mathematical algorithms, for which pixel level parallelism is transparent, into C++ computer code which can be portable across all MIMD, SIMD, and sequential architectures. The advantage of this method is that complex image processing algorithms can now be prototyped and tested on any machine and then safely migrated directly to parallel machines without any demands being placed upon the user by issues such as parallelism and data decomposition
  • Keywords
    C language; image processing; object-oriented languages; object-oriented programming; parallel algorithms; parallel programming; C++ computer code; MIMD; SIMD; image algebra; image processing algorithms; mathematical algorithms; object oriented; parallel machines; pixel level parallelism; sequential architectures; transparently concurrent image processing; Algebra; Computer architecture; Concurrent computing; Convolutional codes; Image processing; Parallel machines; Parallel processing; Pixel; Portable computers; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
  • Conference_Location
    Williamsburg, VA
  • Print_ISBN
    0-8186-2775-1
  • Type

    conf

  • DOI
    10.1109/SHPCC.1992.232694
  • Filename
    232694