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
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