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Parallel Computation of Discrete Orthogonal Moment on Block Represented Images Using OpenMP

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Abstract

Herein, a parallel implementation of Discrete Orthogonal moments on block represented images is investigated. Moments and moment functions have been used widely as features for image analysis and pattern recognition tasks. The main disadvantage of all moment sets, is the high computational cost which is increased as higher-order moments are involved in the computations. In image block representation (IBR) the image is represented by homogeneous areas which are called blocks. The IBR allows moment computation with zero computational error for binary images, low computational error for gray images, low computational complexity, while can achieve high processing rates. The results from parallel implementation on a multicore computer using OpenMP, exhibit significant performance.

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Acknowledgements

This work was supported by computational time Granted from the Greek Research & Technology Network (GRNET) in the National HPC facility - ARIS - under project ID PA170601-PIBR.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Iraklis M. Spiliotis, Charalampos Sitaridis & Michael P. Bekakos

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  1. Iraklis M. Spiliotis
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  2. Charalampos Sitaridis
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  3. Michael P. Bekakos
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Correspondence to Iraklis M. Spiliotis.

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Spiliotis, I.M., Sitaridis, C. & Bekakos, M.P. Parallel Computation of Discrete Orthogonal Moment on Block Represented Images Using OpenMP. Int J Parallel Prog 49, 440–462 (2021). https://doi.org/10.1007/s10766-021-00713-2

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