Skip to main content

Computer System Organization for Pictorial Data

  • Chapter
  • 86 Accesses

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 6))

Abstract

This paper concerns 1) recent extensions of computer capabilities that relate to processing two-dimensional data, and 2) concepts of how computer technology will be applied in the future to images. The first section describes the nature of image data and the main approaches that have been taken to handle it. Image processing, computer graphics, and pattern recognition methodologies all contribute substantially to the body of techniques available today. We discuss engineering approaches used now and the potential directions for extending these approaches to take advantage of new technologies and to meet real-world needs. The newer systems discussed include 1) cellular processors, 2) conventional computers as “host” with a peripheral array processor, and 3) “supercomputers” (fast, large machines which employ pipelining and parallelism).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Preston, K., et al (1979) “Basics of Cellular Logic with Some Applications in Medical Image Processing” Proc. of the IEEE Volume 67, May 1979, pp 826–856.

    Article  Google Scholar 

  • Levine, M.D. (1980) “Editorial Comments” International Association for Pattern Recognition, Volume 3, No. 1, May 1980.

    Google Scholar 

  • Guzman, A. (1980) “Reconfigurable Data Bases” Pattern Recognition in Practice, ed. by Gelsema, E. S. and Kanal, L. N., North-Holland Publishing Co., 1980, pp 99–111.

    Google Scholar 

  • Briggs, F. A., Fu, K. S. et al (1979) “PM: A reconfigurable Multiprocessor System for Pattern Recognition and Image Processing,” TR-EE-79–11 Purdue University, 1979.

    Google Scholar 

  • Duda, R. O. and Hart, P. E. (1971) Pattern Classification and Scene Analysis, Wiley.

    Google Scholar 

  • Rosenfeld, A. and Kak, A. C. (1971) Digital Image Processing, Academic Press.

    Google Scholar 

  • Pratt, W. K. (1978) Digital Image Processing, Wiley.

    Google Scholar 

  • Alexander, P. (1978) “Array Processors in Image Analysis Applications,” New Concepts Symposium on Detection and Identification of Explosives.

    Google Scholar 

  • Klinger, A. and Rhodes, M. L. (1979) “Organization and Access of Image Data by Areas,” IEEE Trans. Pattern Analysis Machine Intelligence, Vol. PAMI-1, pp 50–60, January 1979.

    Article  Google Scholar 

  • Samet, H. (1981) “An Algorithm for Converting Rasters to Quadtrees,” IEEE Trans. Pattern Analysis Machine Intelligence, Vol. PAMI-3, pp 93–95, January 1981.

    Article  Google Scholar 

  • Dyer, C. R. and Rosenfeld, A. (1981) “Parallel Image Processing by Memory-Augmented Cellular Automata,” IEEE Trans. Pattern Analysis Machine Intelligence,Vol. PAMI-3, pp 29–41, January 1981.

    Article  Google Scholar 

  • Unger, S. H. (1958) “A computer oriented toward spatial problems,” Proc. IRE Vol. 46 (1959) 1744–1750.

    Article  Google Scholar 

  • Unger, S. H. (1959) “Pattern detection and recognition,” ibid, vol. 47, 1959, 1737–1752.

    Google Scholar 

  • McCormick, B. H. (1963) “The Illinois pattern recognition computer — ILLIAC III,” IEEE Trans. EC-12, 1963, 791–813.

    Google Scholar 

  • Duff, M. J. B. (1973) A cellular logic array for image processing. Pattern Recognition 5, 1973, 229–247.

    Google Scholar 

  • Batcher, K. E., Design of a massively parallel processor, IEEE Trans. C-28, 1980, 836–840.

    Google Scholar 

  • Nagy, G. and Zobrist, A. L. (1980) “Platitudes on Image Data and Geographic Infomation Processing,” Proc. Workshop on Picture Data Description and Management, IEEE 80 CH 1530–5, 1980.

    Google Scholar 

  • Sternberg, S. R. (1981) “Parallel Architectures for Image Processing” in Real-Time/Parallel Computing Image Analysis, ed. by Onoe, M., Preston, K., and Rosenfeld, A., Plenum, 1981.

    Google Scholar 

  • Alexandridis, N, and Klinger, A., “Picture Decomposition, Tree Data Structures, and Identifying Directional Symmetries as Node Combinations,” Computer Graphics and Image Processing I, 1978, 43–77.

    Google Scholar 

  • Klinger, A., “Searching Images for Structure,” Structured Computer Vision, Tanimoto, S. and Klinger, A, (eds.) Academic Press, New York, 1980, 151–168.

    Google Scholar 

  • Chock, M., Cardenas, A. F., and Klinger, A., “Manipulating Data Structures in Pictorial Information Systems,” IEEE Computer, November 1981.

    Google Scholar 

  • 1981 IEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Managem.ent, IEEE Catalog No. 81CH1697–2, Library of Congress No. 81–82808, IEEE Computer Society CataloQ No. 378.

    Google Scholar 

  • Potter, J. L., “Continuous Image Processing on the FPP,” 1981 IEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Management, IEEE Catalog No. 81CH1697–2, Library of Congress No. 81–82808, IEEE Computer Society Catalog No. 378.

    Google Scholar 

  • MITRE TECHNICAL REPORT MTR 79 W0030S, The Mitre Corporation, Bedford, Massachusetts, 1979.

    Google Scholar 

  • Levine, R. D. “Supercomputers,” Scientific American, vol. 246 (1982), 118–135.

    Article  Google Scholar 

  • COMTAL/3M, 505 W. Woodbury Road, Altadena, California 91101, (213) 797–1175 TWX 910–588-3256.

    Google Scholar 

  • CLI Compression Labs, Incorporated, 10440 N. Tantau Ave., Cupertino, California 95014, (408) 725–0206.

    Google Scholar 

  • DeAnza, 118 Charcot Avenue, San Jose, California 95131, (408) 263–7155.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1982 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Klinger, A. (1982). Computer System Organization for Pictorial Data. In: Fu, Ks., Kunii, T.L. (eds) Picture Engineering. Springer Series in Information Sciences, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87867-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-87867-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-87869-5

  • Online ISBN: 978-3-642-87867-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics