DocumentCode :
3043140
Title :
Fast Ellipse Detection Algorithm Using Hough Transform on the GPU
Author :
Ito, Yasuaki ; Ogawa, Kouhei ; Nakano, Koji
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Hiroshima, Japan
fYear :
2011
fDate :
Nov. 30 2011-Dec. 2 2011
Firstpage :
313
Lastpage :
319
Abstract :
GPUs (Graphics Processing Units) are specialized microprocessors that accelerate 3D or 2D graphics operations. Recent GPUs, which have many processing units connected with a global memory, can be used for general purpose parallel computation. To utilize the powerful computing ability, GPUs are widely used for general purpose computing. The main purpose of this paper is an ellipse detection algorithm with Hough transform. The feature of our algorithm is that to reduce computational time and space, the parameter spaces in the Hough transform are decomposed for each parameter and each parameter is computed in series. Also, we implemented our algorithm on a modern GPU system. The experimental results show that, for an input image with size of 2040×2040, our GPU implementation can achieve a speedup factor of approximately 64 times over the sequential implementation without the GPU support.
Keywords :
Hough transforms; computational geometry; microprocessor chips; GPU; Hough transform; fast ellipse detection; general purpose parallel computation; graphics processing units; microprocessors; Arrays; Detection algorithms; Graphics processing unit; Image edge detection; Instruction sets; Transforms; CUDA; Ellipse detection; GPU; Hough transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Computing (ICNC), 2011 Second International Conference on
Conference_Location :
Osaka
Print_ISBN :
978-1-4577-1796-3
Type :
conf
DOI :
10.1109/ICNC.2011.61
Filename :
6131836
Link To Document :
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