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

Rafael Grompone von Gioi; Jérémie Jakubowicz; Jean‐Michel Morel; Grégory Randall

doi:10.1109/tpami.2008.300

January 14, 2009IEEE Transactions on Pattern Analysis and Machine Intelligence

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

View at Publisher

Ask AI

Bookmark

Share

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.

Implication

Shows improved detection efficiency in various natural images, suggesting better image processing algorithms.

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.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Gioi et al. (2009) studied this question.

synapsesocial.com/papers/69d83b94a2a48916bbbef867 https://doi.org/10.1109/tpami.2008.300

View at Publisher

Ask AI

Bookmark

Share

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading