DocumentCode :
3061768
Title :
A high-resolution Hough transform using variable filter
Author :
Morimoto, Masashi ; Akamatsu, Shigeru ; Suenaga, Yasuhito
Author_Institution :
NTT Human Interface Labs., Kanagawa, Japan
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
280
Lastpage :
284
Abstract :
Proposes a variable filter, a new high-resolution Hough transform method. A voted value at the point (ρ,θ) on the Hough space is transformed into a value distribution by the variable filter, and voting is performed according to the distribution. The shape and size of the variable filter changes dynamically with the quantization size and the line parameters (ρ,θ). Statistical experiments show that the filter can improve extraction performance and reduce the mean error of extracted line parameters even with noisy images
Keywords :
Hough transforms; edge detection; feature extraction; filtering and prediction theory; Hough space; high-resolution Hough transform; image processing; line extraction; line parameters; quantization; variable filter; voting; Discrete transforms; Equations; Humans; Information filtering; Information filters; Information processing; Noise reduction; Noise shaping; Quantization; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.201980
Filename :
201980
Link To Document :
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