DOI QR코드

DOI QR Code

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

처리 속도 향상을 위해 OpenCV CUDA를 활용한 도로 영역 검출

  • 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)
  • 이태희 (한양대학교 전자통신공학과) ;
  • 황보현 (한양대학교 전자전기제어계측공학과) ;
  • 윤종호 (한양대학교 전자통신전파공학과) ;
  • 최명렬 (한양대학교 전자통신공학과)
  • Received : 2014.03.04
  • Accepted : 2014.06.20
  • Published : 2014.06.28

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

References

  1. Yongjin Yeom, Yongkuk Cho, "High-Speed Implementations of Block Ciphers on Graphics Processing Units Using CUDA Library", Journal of The Korea Institute of Information Security and Cryptology, Vol. 18, No. 3, pp. 23-32, 2008.
  2. Jun-Chul Kim, Young-Han Jung, Eun-Soo Park, Xuenan Chui, Hak-il Kim, Uk-Youl Huh, "The Implementation of Fast Object Recognition Using Parallel Processing on CPU and GPU", Journal of Institute of Control, Robotics and System, Vol. 15, No. 5, pp. 488-495, 2009. https://doi.org/10.5302/J.ICROS.2009.15.5.488
  3. Kyoung-Hwan Park, Chi-Won Lee, Chang-Woo Lee, "Road Detection using Mean Shift Algorithm and Similarity Region Merging method", Workshop presentatio file, Korea Information Science Society, Vol. 36, No. 4, pp. 437-440, 2009.
  4. Tae-Hee Lee, Bo-Hyun Hwang, Jong-Ho Yun, Byoung-Soo Park, Myung-Ryul Choi, "A Road Extraction Algorithm using Mean-Shift Segmentation and Connected-Component", Journal of Digital Convergence, Vol. 12, no1, pp. 359-364, 2014, 1 https://doi.org/10.14400/JDPM.2014.12.1.359

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