Comment on "collinear segment detection using HT neighborhoods"

Rahmdel, Payam S., Shi, Daming and Comley, Richard A. ORCID logoORCID: (2013) Comment on "collinear segment detection using HT neighborhoods". IEEE Transactions on Image Processing, 23 (2) . pp. 952-955. ISSN 1057-7149 [Article] (doi:10.1109/TIP.2013.2291329)


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.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 16791
Useful Links:
Depositing User: Daming Shi
Date Deposited: 03 Jun 2015 13:59
Last Modified: 28 Nov 2019 10:49

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