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A Novel Linelet-Based Representation for Line Segment Detection.
- Source :
-
IEEE Transactions on Pattern Analysis & Machine Intelligence . May2018, Vol. 40 Issue 5, p1195-1208. 14p. - Publication Year :
- 2018
-
Abstract
- This paper proposes a method for line segment detection in digital images. We propose a novel linelet-based representation to model intrinsic properties of line segments in rasterized image space. Based on this, line segment detection, validation, and aggregation frameworks are constructed. For a numerical evaluation on real images, we propose a new benchmark dataset of real images with annotated lines called YorkUrban-LineSegment. The results show that the proposed method outperforms state-of-the-art methods numerically and visually. To our best knowledge, this is the first report of numerical evaluation of line segment detection on real images. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 01628828
- Volume :
- 40
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Pattern Analysis & Machine Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 128843535
- Full Text :
- https://doi.org/10.1109/TPAMI.2017.2703841