Title :
Fuzzy Hough transform
Author :
Han, Joon H. ; Koczy, Laszlo T. ; Poston, Timothy
Author_Institution :
Dept. of Comput. Sci., Pohang Inst. of Sci. & Technol., South Korea
Abstract :
To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles
Keywords :
Hough transforms; fuzzy set theory; image recognition; circles; fuzzy Hough transform; lines; shape detection; Computer science; Digital images; Fitting; Fuzzy systems; Integral equations; Noise shaping; Quantization; Shape; Telematics; Voting;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327545
