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Using NVIDIA multicore graphics processors in image decoding

  • Representation, Processing, Analysis and Understanding of Images
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Abstract

In this paper, the parallel algorithms of the search, segmentation, and correction of the segmentation of zones of interest by images of locally homogeneous scenes are proposed. The results of the execution of parallel programs using an NVIDIA 96-core graphics processor are presented. The execution times of parallel and sequential programs are compared.

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References

  1. R. M. Aleev, S. A. Martynov, and V. B. Fofanov, “Remarks on searching zones of interest in locally uniform scene,” Pattern Recogn. Image Anal. 22(1), 150–156 (2012).

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Authors and Affiliations

  1. Kazan (Volga region) Federal University, ul. Kremlevskaya 18, Kazan, 420008, Tatarstan, Russia

    I. M. Kozlov

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  1. I. M. Kozlov
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Correspondence to I. M. Kozlov.

Additional information

This article uses the materials of a report submitted at the 11th International Conference “Pattern Recognition and Image Analysis: New Information Technologies,” Samara, Russian Federation, September 23–28, 2013.

Igor’ Mikhailovich Kozlov. Born 1992. Student of the 4th course at the Institute of Computational Mathematics and Information Technologies, Kazan (Volga region) Federal University. Scientific interests: parallel computations. Author of three papers.

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Kozlov, I.M. Using NVIDIA multicore graphics processors in image decoding. Pattern Recognit. Image Anal. 24, 425–430 (2014). https://doi.org/10.1134/S1054661814030110

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  • DOI: https://doi.org/10.1134/S1054661814030110

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