Line segment detection via random line fitting
Abstract
In this study we propose a line segment detector that generates accurate results. The proposed algorithm, which is linear-time for the number of edge pixels, provides highly accurate result and does not break off at cross points. The proposed algorithm starts from a randomly selected pixel and uses the improved least-square fitting method. This improved method is designed to process incremental data in linear-time. The proposed algorithm is highly suitable for the vision measurement and camera calibration applications.
- Publication:
-
MIPPR 2019: Pattern Recognition and Computer Vision
- Pub Date:
- February 2020
- DOI:
- 10.1117/12.2541909
- Bibcode:
- 2020SPIE11430E..1YS