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Visualization of 3D Empirical Data: The Voxel Processor

  • Conference paper
Visualization in Scientific Computing

Part of the book series: Focus on Computer Graphics ((FOCUS COMPUTER))

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Abstract

Image processing is an area where the application of parallelism is very suitable, because of the large amounts of data involved. In this particular case, 3D images (voxel-images) have to be processed interactively. Operations on the voxel-images involve 3D image processing and visualization from arbitrary angles. The paper describes the development of a prototype voxel-processor, based on a network of T800 transputers.

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References

  1. S. M. Goldwasser and R. A. Reynolds. Real-Time Display and Manipulation of 3D Medical Objects: The Voxel Processor Architecture. Computer Vision, Graphics and Image Processing, 39:1–27, 1987.

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  2. C.A.R. Hoare. OCCAM 2 Reference Manual Prentice Hall, 1988.

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  3. INMOS. The Transputer Databook. Technical report, INMOS, 1989.

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  4. A. Kaufman and R. Bakalash. Memory and Processing Architecture for 3-D Voxel-Based Imagery. IEEE Computer Graphics and Applications, November 1988.

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Authors
  1. W. Huiskamp
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  2. A. A. J. Langenkamp
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  3. P. L. J. van Lieshout
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Editor information

Editors and Affiliations

  1. ONERA, DMI/CC, 29 Avenue de la Division Leclerc, F-92322, Chatillon, France

    Michel Grave

  2. Service IMA, EDF/DER, 1 Avenue du Général de Gaulle, F-92141, Clamart Cedex, France

    Yvon Le Lous

  3. Computer Graphics Unit, University of Manchester, Computing Building, Manchester, M13 9PL, UK

    W. Terry Hewitt

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© 1994 EUROGRAPHICS The European Association for Computer Graphics

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Huiskamp, W., Langenkamp, A.A.J., van Lieshout, P.L.J. (1994). Visualization of 3D Empirical Data: The Voxel Processor. In: Grave, M., Le Lous, Y., Hewitt, W.T. (eds) Visualization in Scientific Computing. Focus on Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77902-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-77902-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77904-6

  • Online ISBN: 978-3-642-77902-2

  • eBook Packages: Springer Book Archive

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