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Line segment detection based on improved U-Net

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DOI: 10.23977/ESAC2020027

Author(s)

Yunpeng Zhi, Baolong Guo, Zhijie Chen and Cheng Li

Corresponding Author

Baolong Guo

ABSTRACT

Line segment detection measurement technology is an important and challenging task in computer vision, and it is also a hot research direction at home and abroad. This paper uses the improved U-Net network to extract line segments from simple textured images. The simple textured images no longer require high-level features, and pay more attention to the extraction of low-level features. The improved network enhances the low-level information in the image. Feature extraction has significantly improved the performance of straight line detection on images with simple textures.

KEYWORDS

LSD; U-Net network; Low-Level feature

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