1Peters J F, Ahn T C, Borkowskii M. Obstacle classification by aline-crawling robot : a rough neurocomputing approach [ A ], Proceedings of the Third International Conference on Rough Sets andCurrent Trends in Computing - Lecture Notes in Artificial Intelligence[ C]. London, UK: Springer-Verlag, 2002. 594 -601.
2Peungsungwal S, Pungsiri B, Chamnongthai K, et al. Autonomousrobot for a power transmission line inspection [ A ], Proceedings of the 2001 IEEE International Symposium on Circuits and Systems [C]. Piscataway, NJ, USA: IEEE, 2001. 121 -124.
3Galamhos C, Matas J, Kittler J. Progressive probabilistic Hough transform for line detection [ A ]. Proceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition[C]. Los Alamitos, CA, USA: IEEE Computer Society, 1999. 554 - 560.
4Otsu N. A threshold selection method from gray-level histogram[ J]. IEEE Transactions on System, Man, and Cybernetics, 1979, 9 (1) : 62 -66.
Xie Y H, Ji Q. A new efficient ellipse detection method[A]. Proceedings of the 16th International Conference on Pattern Recognition [C]. Los Alamitos, CA, USA: IEEE Computer Society, 2002. 957 - 960.
Duda R O, Hurt P E. Use of the Hough transformation to detect lines and curves in pictures[J]. Communications of the ACM, 1972, 15(1): 11-15.
Kimme C, Ballard D H, Sklansky J. Finding circles by an array of accumulators[ J]. Communications of the ACM, 1975, 18(2): 120 - 122.
5Xie Y H, Ji Q. A new efficient ellipse detection method[A]. Proceedings of the 16th International Conference on Pattern Recognition [C]. Los Alamitos, CA, USA: IEEE Computer Society, 2002. 957 - 960.
6Duda R O, Hart P E. Use of the Hough transformation to detect lines and curves in pictures [ J ]. Communications of the ACM, 1972, 15(1): 11-15.
7Kimme C, Ballard D H, Sklansky J. Finding circles by an array ofaccumulators[ J]. Communications of the ACM, 1975, 18 (2) : 120- 122.
8Leavers V F. Shape Detection in Computer Vision Using HoughTransform[ M ]. London : Springer-Verlag, 1992.