DocumentCode :
3643227
Title :
PClines — Line detection using parallel coordinates
Author :
Markéta Dubská;Adam Herout;Jiří Havel
Author_Institution :
Brno University of Technology, Bož
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1489
Lastpage :
1494
Abstract :
Detection of lines in raster images is often performed using Hough transform. This paper presents a new parameterization of lines and a modification of the Hough transform-PClines. PClines are based on parallel coordinates, a coordinate system used mostly or solely for high-dimensional data visualization. The PClines algorithm is described in the paper; its accuracy is evaluated numerically and compared to the commonly used line detectors based on the Hough transform. The results show that PClines outperform the existing approaches in terms of accuracy. Besides, PClines are computationally extremely efficient, require no floating-point operations, and can be easily accelerated by different hardware architectures.
Keywords :
"Transforms","Accuracy","Equations","Shape","Mathematical model","Image edge detection","Image segmentation"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
ISSN :
1063-6919
Print_ISBN :
978-1-4577-0394-2
Type :
conf
DOI :
10.1109/CVPR.2011.5995501
Filename :
5995501
Link To Document :
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