Advertisement

Effective image processing using the special purpose processor GIPP

  • K. Fritzsch
  • G. Kutschke
  • U. Roesler
  • G. Schwarze
Algorithms And Techniques
Part of the Lecture Notes in Computer Science book series (LNCS, volume 399)

Abstract

The results in developing the GIPP processor are encouraging and are stimulating the VLSI implementation of GIPP processing elements. With the aim to extend the parallelization of GIPP processing in an effective way systolic GIPP arrays have been developed. The systolic approach is very interesting in this relation providing a sound theoretical base for massively parallel GIPP processing.

Besides, this paper can also be considered as a contribution to the recent attempts to resume the neural network modelling research of the sixties and seventies. The GIPP processing structure was developed from first principles of local image preprocessing. In the authors opinion this approach is very promissing, mainly because of the facts, that the progammability of the processing elements is included in a natural manner and that the systolic approach may be used for developing massively parallel processing arrays.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

6. References

  1. Bauernoeppel, F.: Implementierung von Algorithmen der Image-Algebra auf dem Spezialprozessor GIPP AdW ZKI, 1984Google Scholar
  2. Chung, T. L.: Entwicklung von Spezialprozessoren fuer die digitale Verarbeitung von Grauwertbildern Dissertation A, ZKI Berlin, 1984Google Scholar
  3. Duff, M. J.: Computing Structures for Image Processing Academic Press, London, 1983Google Scholar
  4. Haralick, R. M., S. R. Sternberg, X. Zhuang: Image Analysis Using Mathematical Morphology IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. PAMI-9, No. 4, 1987, 532–550Google Scholar
  5. Hodgson, R. M. et. al.: Properties, implementations and applications of rank filters. Image and Vision Computing 3 (1985) 1, 3–14CrossRefGoogle Scholar
  6. Kutschke, G. und G. Schwarze: The programmable hardware-structure GIPP and its application Mathematical Research Band 40, Akademie-Verlag Berlin 1987Google Scholar
  7. Petkov, N. Massive Parallelitaet durch ein systolisches GIPP-ARRAY. 16. Arbeitstagung Entwurf von Schaltsystemen und Systementwurf Dresden 1988 AdW/ZKI Berlin, April 1988Google Scholar
  8. Roesler, U. und G. Schwarze Maskenverfahren zur Manipulation von binaeren Rasterbildern linienfoermiger Objekte Elektronische Informationsverarb. und Kybernetik 16 (1980), 4, 171–184Google Scholar
  9. Roesler, U., G. Schwarze und T. L. Chun: Lokale Bildoperatoren zur Manipulation von Grauwertobjekten und ihre Implementierung durch den Prozessor GIPP Elektron. Inf.-verarb. und Kybernetik 21 (1985) 7/8, 343–354Google Scholar
  10. Serra, J.: Introduction to Mathematical Morphology Computer Vision, Graphics and Image Processing, 35, 283–305, 1986Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • K. Fritzsch
    • 1
  • G. Kutschke
    • 1
  • U. Roesler
    • 1
  • G. Schwarze
    • 1
  1. 1.Central Institute of Cybernetics and Information ProcessesAcademy of Sciences of the G.D.R.Berlin

Personalised recommendations