DocumentCode :
1760153
Title :
Comment on “Collinear Segment Detection Using HT Neighborhoods”
Author :
Rahmdel, Payam S. ; Daming Shi ; Comley, Richard
Author_Institution :
Media & Graphics Interdiscipl. Centre, Univ. of British Columbia, Vancouver, BC, Canada
Volume :
23
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
952
Lastpage :
955
Abstract :
A novel application of the Hough transform (HT) neighborhood approach to collinear segment detection was proposed in [1]. It, however, suffered from one major weakness in that it could not provide an effective solution to the case of segment intersection. This paper analyzes a vital prerequisite step, disturbance elimination in the Hough space, and shows why, this method alone, is incapable of distinguishing the true segment endpoints. To address the problem, a unique HT butterfly separation method is proposed in this correspondence, as an essential complement to the above publication.
Keywords :
Hough transforms; computational geometry; image segmentation; object detection; HT butterfly separation method; HT neighborhoods; Hough transform neighborhood approach; collinear segment detection; disturbance elimination; segment endpoints; segment intersection; Computational geometry; Image segmentation; Object detection; Transforms; Collinear segment detection; Hough Transform; disturbance elimination; segment intersection;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2013.2291329
Filename :
6665114
Link To Document :
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