Image Identifier Based on Linear Component Extraction using Hough Transform

허프변환을 이용한 직선요소 검출 기반 정지영상 인식자

  • 박제호 (단국대학교 컴퓨터과학과)
  • Received : 2010.06.10
  • Accepted : 2010.08.11
  • Published : 2010.09.30

Abstract

The easily accessible handheld devices equipped with camera are widely available as common commodities. According to this trend, utilization of images is popular among common users for various purposes resulting in huge amount of images in local or network based storage systems. In this environment, identification of an image with a solid and effective manner is demanded in behalf of safe distribution and efficient management of images. The generated identifiers can be used as a file name in file systems or an index in image databases utilizing the uniqueness of the identifiers. In this paper, we propose a method that generates image identifiers using linear components in images. Some experiments of generation of identifiers are performed, and the results evaluate that the proposed method has feasible effectiveness.

Keywords

References

  1. M.G. Bantum, US Patent 5,887,081, 1999.
  2. J. Berens, G.D. Finlayson and G. Qiu, "Image indexing using compressed colour histograms", IEE Proc. of Vision, lmage and Signal Processing, Vol.147, No.4, pp. 349-355, 2000. https://doi.org/10.1049/ip-vis:20000630
  3. G. Bradski and A Kaehler, "Learning OpenCV", O'Reily Media, 2008.
  4. Y. Gong, C.H. Chuan and G. Xiaoyi, "Image indexing and retrieval based on color histograms", Multimedia Tools and Applications, Vol.2, No.2, pp. 133-156, 1996.
  5. R.C. Gonzalez, ''Digital image processing(3rd Ed)", Prentice Hall, 2007.
  6. M. Haseyama and I. Kondo, "2-D functional AR model for image identification", Proceedings of the 2003 International Conference on Multimedia and Expo, pp 377-380, 2003.
  7. J. Illingworth and J. Kittler, "A survey of efficient hough transform methods". Compuer Vision, Graphics, and Image Processing, Vol.44, No.1, pp. 87-116, 1988. https://doi.org/10.1016/S0734-189X(88)80033-1
  8. S.K. Naik and C.A. Murthy, "Hough transform for region extraction in color images", Proc. of the Fourth Indian Conference on Computer Vision, Graphics and Image Processing, pp.252-257, Kolkata, India, 2004.
  9. S. Pabboju and A. Reddy, "A noble approach for content-based image indexing retrieval system using global and reagion features", IJCSNS, Vol.9, No.2, 2009
  10. 송치일, 낭종호, "MPEG-7 시각 정보 기술자의 인덱싱 및 결합 알고리즘", 정보과학회논문지: 소프트웨어 및 응용, 제 34권, 제 1호, 1-10쪽, 2007.
  11. http://www.netgraphics.sk