Inherent Bias and Noise in the Hough Transform
作者： Christopher M. Brown
DOI: 10.1109/TPAMI.1983.4767428
关键词:
摘要: Considering the Hough transformation as a linear imaging process recasts certain well-known problems, provides useful vocab-ulary, and possibly indicates source of applicable literature on behavior in various forms noise. A consideration analytic form peaks parameter space sets stage for idea using complementary (negative) votes to cancel off-peak positive space, thus sharpening reducing bias.
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sci-hub.se 参考文章(19)
D.H. Ballard, Generalizing the hough transform to detect arbitrary shapes Pattern Recognition. ,vol. 13, pp. 714- 725 ,(1987) , 10.1016/0031-3203(81)90009-1
M. B. Clowes, F. O'Gorman, Finding picture edges through collinearity of feature points international joint conference on artificial intelligence. pp. 543- 555 ,(1973)
Joseph O'Rourke, Dynamically quantized spaces for focusing the Hough Transform international joint conference on artificial intelligence. pp. 737- 739 ,(1981)
Kenneth R. Sloan, Dynamically quantized pyramids international joint conference on artificial intelligence. pp. 734- 736 ,(1981)
D. H. Ballard, Parameter networks: towards a theory of low-level vision international joint conference on artificial intelligence. pp. 1068- 1078 ,(1981)
Katsushi Ikeuchi, Recognition of 3-D objects using the extended Gaussian image international joint conference on artificial intelligence. pp. 595- 600 ,(1981)
Sklansky, On the Hough Technique for Curve Detection IEEE Transactions on Computers. ,vol. 27, pp. 923- 926 ,(1978) , 10.1109/TC.1978.1674971
Carl W. Helstrom, Fred L. Wilson, Statistical theory of signal detection ,(1968)
Stephen D. Shapiro, Properties of transforms for the detection of curves in noisy pictures Computer Graphics and Image Processing. ,vol. 8, pp. 219- 236 ,(1978) , 10.1016/0146-664X(78)90050-3
Stephen D. Shapiro, Transformations for the Computer Detection of Curves in Noisy Pictures Computer Graphics and Image Processing. ,vol. 4, pp. 328- 338 ,(1975) , 10.1016/0146-664X(75)90002-7