Using NVIDIA multicore graphics processors in image decoding

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...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2014-09, Vol.24 (3), p.425-430
Main Author: Kozlov, I. M.
Format: Article
Language:English
Subjects:
Algorithms
Alliances
Analysis
Analysis and Understanding of Images
Automation
Central processing units
Computer graphics
Computer Science
CPUs
Decoding
Digitization
Image analysis
Image Processing and Computer Vision
Image processing systems
Microprocessors
Neighborhoods
Parallel processing
Pattern Recognition
Processing
Processors
Random variables
Representation
Segmentation
Studies
Citations: Items that this one cites
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Description
Summary: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.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661814030110