LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection

As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks – CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than traditional model-based detectors. In this paper we build an accurate yet f...

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Bibliografiska uppgifter
Huvudupphovsmän: Lev Teplyakov, Leonid Erlygin, Evgeny Shvets
Materialtyp: Artigo
Språk:Inglês
Publicerad: IEEE 2022-01-01
Serie:IEEE Access
Ämnen:
Convolutional neural networks
edge detection
line segment detection
U-net
LSD
Länkar:https://ieeexplore.ieee.org/document/9761231/
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