Zhou, J., Bischof, W. F. and Sanchez-Azofeifa, A. (2006). Extracting lines in noisy images using directional information. Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, August 20-24.
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points obtained from edge detection, and in turn create false line segments. This paper introduced a method based on directional information to overcome the problem. Directional information is generated by the anisotropic Gaussian filter and Gabor filter, and is used to guide the smoothing in edge detection and peak selection in Hough transform. The experimental results shows the effectiveness of this method.
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