Efficient Canny Edge Detection Using a GPU
In 2010 International Conference on Networking and Computing (November 2010), pp. 279-280.
@conference{ogawa2010efficient,
title={Efficient Canny Edge Detection Using a GPU},
author={Ogawa, K. and Ito, Y. and Nakano, K.},
booktitle={2010 First International Conference on Networking and Computing},
pages={279–280},
year={2010},
organization={IEEE}
}
Recent GPUs, which have many processing units connected with a global memory, can be used for general purpose parallel computation. Users can develop parallel programs running on GPUs using programming architecture called CUDA (Compute Unified Device Architecture). The main contribution of this paper is to implement a Canny edge detection algorithm on CUDA. The experimental result shows that our implementation of Canny edge detection algorithm on CUDA achieves a speedup factor of 61 over a conventional software implementation.
March 15, 2011 by hgpu
