Title :
Efficient Canny Edge Detection Using a GPU
Author :
Ogawa, Kohei ; Ito, Yasuaki ; Nakano, Koji
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Hiroshima, Japan
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.
Keywords :
computer graphic equipment; coprocessors; edge detection; parallel programming; Canny edge detection algorithm; GPU; compute unified device architecture; conventional software implementation; general purpose parallel computation; global memory; graphics processing unit; parallel programs; programming architecture; CUDA; Edge detection; GPU; Parallel processing;
Conference_Titel :
Networking and Computing (ICNC), 2010 First International Conference on
Conference_Location :
Higashi-Hiroshima
Print_ISBN :
978-1-4244-8918-3
Electronic_ISBN :
978-0-7695-4277-5
DOI :
10.1109/IC-NC.2010.13
