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http://dx.doi.org/10.14400/JDC.2014.12.6.231

A Road Region Extraction Using OpenCV CUDA To Advance The Processing Speed  

Lee, Tae-Hee (Dept. of Electronics & Communication Engineering, Hanyang University)
Hwang, Bo-Hyun (Dept. of EECI Engineering, Hanyang University)
Yun, Jong-Ho (Dept. of Electrical & Computer Engineering, Hanyang University)
Choi, Myung-Ryul (Dept. of Electronics & Communication Engineering, Hanyang University)
Publication Information
Journal of Digital Convergence / v.12, no.6, 2014 , pp. 231-236 More about this Journal
Abstract
In this paper, we propose a processing speed improvement by adding a parallel processing based on device(graphic card) into a road region extraction by host(PC) based serial processing. The OpenCV CUDA supports the many functions of parallel processing method by interworking a conventional OpenCV with CUDA. Also, when interworking the OpenCV and CUDA, OpenCV functions completed a configuration are optimized the User's device(Graphic Card) specifications. Thus, OpenCV CUDA usage provides an algorithm verification and easiness of simulation result deduction. The proposed method is verified that the proposed method has a about 3.09 times faster processing speed than a conventional method by using OpenCV CUDA and graphic card of NVIDIA GeForce GTX 560 Ti model through experimentation.
Keywords
GPU; CUDA; OpenCV CUDA; Parallel processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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