• DocumentCode
    1836984
  • Title

    Anisotropie filtering with a resistive fuse network on the MIPA4k processor array

  • Author

    Poikonen, J. ; Laiho, M. ; Paasio, A.

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
  • fYear
    2010
  • fDate
    3-5 Feb. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an implementation of nonlinear anisotropic filtering, using resistive fuse circuitry, on the 64??64 cell MIPA4k mixed mode image processor array. Anisotropic filtering can be used to implement very effective edge preserving noise filtering, image segmentation as well as direct edge detection. The MIPA4k processor cell is capable of performing globally or locally controlled anisotropic diffusion in two ways, either for resistive or capacitive input configurations, resulting in different diffusion networks and performance. The array cells can also directly extract edge information from the resistive fuse circuitry. Measured examples of the nonlinear anisotropic filtering and edge extraction on the MIPA4k processor array are presented.
  • Keywords
    array signal processing; edge detection; filtering theory; image denoising; image segmentation; interference suppression; nonlinear filters; MIPA4k mixed mode image processor array; capacitive input configuration; diffusion networks; direct edge detection; edge information extraction; edge preserving noise filtering; globally controlled anisotropic diffusion; image segmentation; locally controlled anisotropic diffusion; nonlinear anisotropic filtering; resistive fuse circuitry; resistive input configuration; Anisotropic filters; Anisotropic magnetoresistance; Circuits; Filtering; Fuses; Image edge detection; Image processing; Image resolution; Image segmentation; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-6679-5
  • Type

    conf

  • DOI
    10.1109/CNNA.2010.5430247
  • Filename
    5430247