摘要: To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds by approximately fitting data points, which avoids spurious detected when using conventional transform. An efficient implementation of this method described for detecting lines and circles. >
sci-hub.se 参考文章(7)
Arnold Kaufmann, Madan M. Gupta, Introduction to fuzzy arithmetic : theory and applications Published in <b>1991</b> in New York NY) by Van Nostrand Reinhold. ,(1991)
J. Illingworth, J. Kittler, A survey of the Hough transform Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing. ,vol. 44, pp. 87- 116 ,(1988) , 10.1016/S0734-189X(88)80033-1
Osmo Kaleva, Seppo Seikkala, On fuzzy metric spaces Fuzzy Sets and Systems. ,vol. 12, pp. 215- 229 ,(1984) , 10.1016/0165-0114(84)90069-1
Richard O. Duda, Peter E. Hart, Use of the Hough transformation to detect lines and curves in pictures Communications of the ACM. ,vol. 15, pp. 11- 15 ,(1972) , 10.1145/361237.361242
Paul V C Hough, Method and means for recognizing complex patterns U.S. Patent 3,069,645. ,(1960)
Stanley R. Deans, Hough Transform from the Radon Transform IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 3, pp. 185- 188 ,(1981) , 10.1109/TPAMI.1981.4767076
Azriel Rosenfeld, Arcs and Curves in Digital Pictures Journal of the ACM. ,vol. 20, pp. 81- 87 ,(1973) , 10.1145/321738.321745