Semiconductor Optoelectronics, Volume. 45, Issue 1, 122(2024)

Adaptive Road Crack Image Preprocessing Method Based on LSD-FLD Fusion

CHEN Changchuan and PENG Fang
Author Affiliations
  • [in Chinese]
  • show less

    This study proposes a road crack image preprocessing method based on the fusion of a line segment detector (LSD) and fast line detector (FLD) to address the issue of linear interference, such as road signs and road edges, which affect road crack recognition. First, based on the LSD and FLD algorithms, line detection is performed on the crack image to obtain the line segment coordinate values of linear interferences. Second, by reconnecting the broken lines based on the line segment coordinate values returned by the line detection algorithm, the problem of extracting discontinuous line segments is solved using the line detection algorithm. Finally, the fast marching method (FMM) inpainting algorithm is used to eliminate linear interferences using the mask image of the linear interferences and the original image of the crack image obtained after reconnecting the line segments. Based on extensive experimental analysis, this method can effectively eliminate linear interference in crack images, improving the accuracy of crack detection by 7.1%.

    Tools

    Get Citation

    Copy Citation Text

    CHEN Changchuan, PENG Fang. Adaptive Road Crack Image Preprocessing Method Based on LSD-FLD Fusion[J]. Semiconductor Optoelectronics, 2024, 45(1): 122

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 15, 2023

    Accepted: --

    Published Online: Jun. 25, 2024

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2023091501

    Topics