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Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit

Dongfeng Xu, Yehan Zheng, Yuefang Gao, Dong Wang
Research Center of Human Computer Interaction, College of Informatics, South China Agricultural University, Guangzhou 510642, China
Journal of Information & Computational Science, Volume 9, Number 3, 611-618, 2012

@article{xu2012parallel,

   title={Parallel Computation for Discrete Orthogonal Moments of Images Using Graphic Processing Unit?},

   author={Xu, D. and Zheng, Y. and Gao, Y. and Wang, D.},

   journal={Journal of Information & Computational Science},

   volume={9},

   number={3},

   pages={611–618},

   year={2012}

}

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A novel method is proposed for fast computing discrete orthogonal moments of large scale digital images using CUDA (Compute Unified Device Architecture) on GPU (Graphic Processing Unit). After original input image loading and mapping by partition model, parallelism was implemented by dividing onto GPU. Experimental results show that the proposed method outperforms the existing software implementation approaches, such as direct method, recursive algorithm based on CPU and so on, especially for larger images and higher order moments which can be performed in real-time.
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