Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Line Detection in the Image of a Wireless Mobile Robot using an Efficient Preprocessing and Improved Hough Transform

효율적인 전처리와 개선된 하프변환을 이용한 무선 이동로봇 영상에서 직선검출

  • Received : 2010.10.05
  • Accepted : 2011.04.22
  • Published : 2011.06.30
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Abstract

This paper presents a research on the fast and accurate method of line detection in the image of a wireless mobile robot (WMR). For the improvement of the processing time to detect lines, the characteristics of the transmitted image from the WMR was analyzed, and the efficient preprocessing method among the existing preprocessing methods was selected. And for the improvement of the accuracy to detect lines, the selection method of local maximum value at the Hough array (HA) which has the result of Hough transform was improved by designing a mask and applying it to HA. The experiment was performed with acquired images from the WMR, and the proposed method outperformed the existing methods in terms of processing time and line detection.

본 논문은 무선 이동로봇의 영상에서 빠르고 정확하게 직선을 검출하는 방법에 대한 연구이다. 직선검출 처리시간 향상을 위하여 무선 이동로봇으로부터 전송 받은 영상의 특성을 분석하고 기존의 전처리 방법들 중 효율적인 전처리 방법을 선택하였다. 그리고 직선검출 정확도 향상을 위하여 하프변환의 결과를 저장하는 하프배열에서 지역 최대값을 선택하는 방법을 마스크를 설계하고 하프배열에 적용하여 개선하였다. 무선 이동로봇으로부터 획득한 실험영상을 가지고 실험을 실시하였고 제안방법은 처리시간과 직선검출에 있어 기존 방법들에 비해 좋은 성능을 보였다.

Keywords

References

  1. Guilherme N. DeSouza and Avinash C. Kak, "Vision for Mobile Robot Navigation: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, No.2, pp.237-267, 2002. https://doi.org/10.1109/34.982903
  2. Jun-young Heo, Geun-taek Kang, and Won- Chang Lee, "Navigation of an Autonomous Mobile Robot with Vision and IR Sensors Using Fuzzy Rules," Journal of Fuzzy Logic and Intelligent Systems, Vol.17, No.7, pp. 901-906, 2007. https://doi.org/10.5391/JKIIS.2007.17.7.901
  3. Giulio Reina, Genya Ishigami, Keiji Nagatani, and Kazuya Yoshida, "Vision-based Estimation of Slip Angle for Mobile Robots and Planetary Rovers," IEEE International Conference on Robotics and Automation, pp. 486-491, 2008.
  4. Y. One, H. Uchiyama, and W. Potter, "A Mobile Robot for Corridor Navigation: A Multi-agent Approach," ACM Southeast Regional Conference, pp.379-384, 2004.
  5. Scott Jantz and Keith L Doty, "TJPRO-AVR: A Wireless Enabled Mobile Robot for Vision Research," Florida Conference on Recent Advances in Robotics, pp.1-5, 2006.
  6. Eiji Hayashi and Tomoyuki Kinoshita, "Development of an Indoor Navigation System for a Monocular-vision-based autonomous Mobile Robot," Artificial Life and Robotics, Vol.14, No.3, pp.324-328, 2009. https://doi.org/10.1007/s10015-009-0671-4
  7. E. Aude, E. Lopes, C. Aguiar, and M. Martins, "Door Crossing and State Identification Using Robotic Vision," International Symposium on Robot Control, 2006.
  8. Jung-Hyun Park, Min-Young Lee, and Kwee- Bo Sim, "A Design of Intelligent Surveillance System Based on Mobile Robot and Network Camera," Journal of Korean institute of intelligent systems, Vol.18, No.4, pp.476-481, 2008. https://doi.org/10.5391/JKIIS.2008.18.4.476
  9. Barry O'Brien and Jesse Kovach, "Future Combat Systems (FCS) Small Unmanned Ground Vehicle (SUGV) Teleoperation Experiment Results," ARL-TR-4660, 2008.
  10. Zhengting He, "Video Compression and Data Flow for Video Surveillance," CSD-91-646, Texas Instruments, 2007.
  11. Axel GroBmann and Riccardo Poli, "Robust Mobile Robot Localisation from Sparse and Noisy Proximity Readings Using Hough Transform and Probability Grids," Robotics and Autonomous Systems, Vol.37, No.1, pp. 1-18, 2001. https://doi.org/10.1016/S0921-8890(01)00144-0
  12. Tae-Ung Choi, Intelligent Robot System, HBE, 2009.
  13. Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Prentice Hall, Third Edition, 2008.
  14. Bo-Ho Cho and Sung-Hwan Jung, "Edge Extraction and Line Detection in The Transmitted Image from Wireless Mobile Robot," Proceeding of The KMMS Fall Conference, Vol.12, No.2, pp.403-405, 2009.

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