A variant of the Hough Transform for the combined detection of corners, segments, and polylines


The Hough Transform (HT) is an effective and popular technique for detecting image features such as lines and curves. From its standard form, numerous variants have emerged with the objective, in many cases, of extending the kind of image features that could be detected. Particularly, corner and line segment detection using HT has been separately addressed by several approaches. To deal with the combined detection of both image features (corners and segments), this paper presents a new variant of the Hough Transform. The proposed method provides an accurate detection of segment endpoints, even if they do not correspond to intersection points between line segments. Segments are detected from their endpoints, producing not only a set of isolated segments but also a collection of polylines. This provides a direct representation of the polygonal contours of the image despite imperfections in the input data such as missing or noisy feature points. It is also shown how this proposal can be extended to detect predefined polygonal shapes. The paper describes in detail every stage of the proposed method and includes experimental results obtained from real images showing the benefits of the proposal in comparison with other approaches.

Publication DOI: https://doi.org/10.1186/s13640-017-0180-7
Divisions: College of Engineering & Physical Sciences
Additional Information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Publication ISSN: 1687-5281
Last Modified: 27 Jun 2024 10:47
Date Deposited: 08 Jun 2021 13:55
Full Text Link:
Related URLs: https://jivp-eu ... 3640-017-0180-7 (Publisher URL)
PURE Output Type: Article
Published Date: 2017-05-02
Accepted Date: 2017-04-12
Authors: Bachiller-Burgos, Pilar
Manso, Luis J. (ORCID Profile 0000-0003-2616-1120)
Bustos, Pablo



Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Additional statistics for this record