Efficient Canny Edge Detection Using a GPU

Authors:
Kohei Ogawa;Yasuaki Ito;Koji Nakano
Affiliations:
-;-;-
Venue:
ICNC '10 Proceedings of the 2010 First International Conference on Networking and Computing
Year:
2010

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Abstract

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.