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January 14, 2009IEEE Transactions on Pattern Analysis and Machine Intelligence1,963 citations

LSD: A Fast Line Segment Detector with a False Detection Control

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RGRafael Grompone von GioiJJJérémie JakubowiczJMJean‐Michel Morel

Key Points

  • The aim is to develop a linear-time line segment detector that minimizes false detections without parameter tuning.
  • Developed a fast line segment detection algorithm in linear time with controlled false detections.
  • Tested and analyzed performance against state-of-the-art algorithms.
  • Evaluated on a wide range of natural images.
  • Achieved higher accuracy rates compared to existing line segment detection algorithms.
  • Maintained a low number of false detections across all tested images.

Abstract

We propose a linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning. This algorithm is tested and compared to state-of-the-art algorithms on a wide set of natural images.

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Cite This Study

Gioi et al. (2009) studied this question.

synapsesocial.com/papers/69d83b94a2a48916bbbef867https://doi.org/10.1109/tpami.2008.300
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