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Object-Oriented Parallel Image Processing Library

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Parallel Computing Technologies (PaCT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5698))

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Abstract

The paper describes the experimental library SSCC_PIPL for image processing on multicomputers. Basic principles of library building, some architectural solutions, and test results are given.

Supported by Russian Foundation for Basic Research (project No. 07-07-00085a).

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References

  1. Bräunl, T.: Tutorial in Data Parallel Image Processing. Australian Journal of Intelligent Information Processing Systems 6(3), 164–174 (2001)

    Google Scholar 

  2. Jamieson, L.H., Delp, E.J., Patel, J.N., Wang, C.C.: A Library-based Program Development Environment for Parallel Image Processing. In: Scalable Parallel Libraries Conference, pp. 187–194 (1993)

    Google Scholar 

  3. Lebak, J., Kepner, J., Hoffmann, H., Rutledge, E.: Parallel VSIPL++: An Open Standard Software Library for High-Performance Parallel Signal Processing. Proc. IEEE 93(2), 313–330 (2005)

    Article  Google Scholar 

  4. Seinstra, F.J., Koelma, D.: The Lazy Programmer’s Approach to Building a Parallel Image Processing Library. In: Parallel and Distributed Processing Symposium, pp. 1169–1176 (2001)

    Google Scholar 

  5. Seinstra, F.J., Koelma, D., Geusebroek, J.M., Verster, F.C., Smeulders, A.W.M.: Efficient applications in user transparent parallel image processing. In: Parallel and Distributed Processing Symposium, pp. 127–134 (2002)

    Google Scholar 

  6. Squyres, J.M., Lumsdaine, A., Stevenson, R.L.: A Toolkit for Parallel Image Processing. In: SPIE Proc., vol. 3452, pp. 69–80 (1998)

    Google Scholar 

  7. CxImage, http://www.xdp.it/cximage.htm

  8. Alekseev, A.S., Pyatkin, V.P., Salov, G.I.: Crater Detection in Aero-Space Imagery Using Simple Nonparametric Statistical Tests. In: Chetverikov, D., Kropatsch, W.G. (eds.) CAIP 1993. LNCS, vol. 719, pp. 793–799. Springer, Heidelberg (1993)

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© 2009 Springer-Verlag Berlin Heidelberg

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Rusin, E.V. (2009). Object-Oriented Parallel Image Processing Library. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2009. Lecture Notes in Computer Science, vol 5698. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03275-2_34

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  • DOI: https://doi.org/10.1007/978-3-642-03275-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03274-5

  • Online ISBN: 978-3-642-03275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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