Extracting Lines in Noisy Image Using Directional Information

Authors:
Jun Zhou;Walter F. Bischof;Arturo Sanchez-Azofeifa
Affiliations:
University of Alberta, Canada;University of Alberta, Canada;University of Alberta, Canada
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

Citing 0
Cited 2

Old and new straight-line detectors: Description and comparison

Pattern Recognition
Ridges and valleys detection in images using difference of rotating half smoothing filters

ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method.