DOI QR코드

DOI QR Code

The horizontal line detection method using Haar-like features and linear regression in infrared images

  • 투고 : 2015.12.10
  • 심사 : 2015.12.24
  • 발행 : 2015.12.30

초록

In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.

키워드

참고문헌

  1. J. J. Seo and J. W. Park, "Hepatic Vessel Segmentation using Edge Detection," Journal of KSCI, Vol. 17, No. 3, pp. 51-57, March 2012.
  2. S. S. Yoon and P. S. Bae, "Using Mean Shift algorithm and self-adaptive Canny algorithm for improvement of edge detection," Journal of KSCI, Vol. 14, No. 7, pp. 33-40, July 2009.
  3. J. Canny, "A computational approach to edge detection", IEEE Transactions on PAMI, Vol. 8, pp. 679-697, May 1988.
  4. Y. W. Woo, "Navigational Path Detection Using Fuzzy Binarization and Hough Transform," Journal of KSCI, Vol. 19, No. 2, pp. 31-37, Feb. 2014.
  5. R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in pictures", Comm. ACM, Vol. 15, pp. 11-15, July 1972. https://doi.org/10.1145/361237.361242
  6. S. H. Weon, G. Y. Kim, and H. S. Na, "Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person," Journal of KSCI, Vol. 17, No. 7, pp. 67-76, July 2012.
  7. K. Onoguchi, "Overlap Vehicle Detection by Tracking Horizontal Lines," MVA2009 IAPR Conference on Machine Vision Applications, pp. 211-214, May 2009.
  8. H. B. Srivastaval, Y. B. Limbu, R. Saran, and A. Kumar, "Airborne Infrared Search and Track Systems," Journal of defence science, Vol. 57, No. 5, pp. 739-753, Sept. 2007. https://doi.org/10.14429/dsj.57.1810
  9. S. M. Ettinger, M. C. Nechyba, P. G. Ifju, and M. Waszak, "Vision-guided flight stability and control for micro air vehicles," Proc. of IEEE Conf. on Intelligent Robots and Systems, pp. 2134-2140, April 2002.
  10. S. Fefilatyev, D. B. Goldgof, and L. Langebrake. "Towards detection of marine vehicles on horizon from buoy camera," Proc. of SPIE, pp. 6736:67360O, Oct. 2007.
  11. T. Libe, E. Gershikov, and S. Kosolapov, "Comparison of methods for horizon line detection in sea images," Proc. of CONTENT, pp. 79-85, May 2012.
  12. P. Viola and M. J. Jones, "Robust real-time face detection," Int. Journal of Computer Vision, Vol. 57, No. 2, pp. 137-154, March 2004. https://doi.org/10.1023/B:VISI.0000013087.49260.fb