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Implementing Image Analysis with a Graph-Based Parallel Computing Model

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Graph Based Representations in Pattern Recognition

Part of the book series: Computing Supplement ((COMPUTING,volume 12))

Abstract

This paper presents a computing model named associative mesh and its application for image analysis. The model relies on global computations on subgraphs of an image, as a primitive operation to manipulate objects in an image. While the model is adapted to an efficient hardware implementation, it is also quite expressive in terms of image analysis. The paper illustrates that by presenting the implementation of Voronoï diagrams based image segmentation.

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References

  1. Ahuja, N., An, B., Shachte, B.: Image representation using voronoi tesselation. CVGIP 29, 286–295 (1985).

    Google Scholar 

  2. Biancardi, A., Mérigot, A.: Connected component support for image analysis programs. Proc. 13th ICPR, IEEE Press, D:620–624, 1996.

    Google Scholar 

  3. Blelloch, E. G.: Vector models for data-parallel computing. Cambridge Mass.: MIT Press, 1990.

    Google Scholar 

  4. Ducourthial, B., Mérigot, A.: Graph embedding in the associative mesh model. Technical Report 2, Institut d’Electronique Fondamentale, Bât. 220. Université Paris-Sud, 91405 Orsay, France, December 1996.

    Google Scholar 

  5. Dulac, D., Mohammadi, S., Mérigot, A.: Implementation and evaluation of a parallel architecture using asynchronous communications. In: Proceedings of the 1995 Workshop on Computer Architecture for Machine Perception (CAMP’95) (Cantoni, V., Lombardi, L., et al., eds.), pp. 106–111. Los Alamitos: IEEE Press, 1995.

    Chapter  Google Scholar 

  6. Fountain, T. J.: Processors arrays: architecture and applications. New York: Academic Press, 1987.

    Google Scholar 

  7. Owens, R. M., Irwin, M. J., Nagendra, C., Bajwa, R. S.: Computer vision on MGAP. In: Proceedings of the 1993 Workshop on Computer Architecture for Machine Perception (Davis, L. S., Bayoumi, M. A., Valavanis, U. P., eds.), pp. 337–341. Los Alamitos: IEEE Press, 1993.

    Chapter  Google Scholar 

  8. Rose. J. R.: C*: C++ like language for data-parallel computation. Technical Report PL87-8, Thinking Machines Corporation, Cambridge, Massachusetts, USA, 1987.

    Google Scholar 

  9. Tuceryan M., Jain, A. K.: Texture segmentation using Voronoi polygons. IEEE Trans. PAMI 13, 211–216(1990).

    Article  Google Scholar 

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© 1998 Springer-Verlag Wien

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Ducourthial, B., Constantinescu, G., Mérigot, A. (1998). Implementing Image Analysis with a Graph-Based Parallel Computing Model. In: Jolion, JM., Kropatsch, W.G. (eds) Graph Based Representations in Pattern Recognition. Computing Supplement, vol 12. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6487-7_12

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  • DOI: https://doi.org/10.1007/978-3-7091-6487-7_12

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83121-2

  • Online ISBN: 978-3-7091-6487-7

  • eBook Packages: Springer Book Archive

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