Image processing-based road crack recognition and repair trajectory planning approach

Aiming at the problem that the current pavement crack detection methods have less research on the repair trajectory planning for subsequent cracks, a raod crack detection and repair trajectory planning approach based on image processing is proposed. Firstly, the preprocessing method based on augmented nonlinear diffusion denoising is used to remove pretzel noise points; then, the FCM algorithm based on adaptive weighted spatial information is used to segment the crack features; then, the connectivity domain area filtering is used to remove the large noise points; finally, the coordinate point extraction and polynomial least squares are used to carry out the repair trajectory planning, and combined with the pavement crack detection and repair prototype simulation of the actual scene testing, to validate the reliability of the proposed approach.

Authors

Institutions

Publication Details

Published
2024-10-03
DOI
https://doi.org/10.1117/12.3048319
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Image processing-based road crack recognition and repair trajectory planning approach

Zhiqin Cai, Bin Yao, Zhixian Lin, Junhang Deng
Infrastructure Maintenance and Monitoring
article

Image processing-based road crack recognition and repair trajectory planning approach

Zhiqin Cai, Bin Yao, Zhixian Lin, Junhang Deng
article en

Abstract

Aiming at the problem that the current pavement crack detection methods have less research on the repair trajectory planning for subsequent cracks, a raod crack detection and repair trajectory planning approach based on image processing is proposed. Firstly, the preprocessing method based on augmented nonlinear diffusion denoising is used to remove pretzel noise points; then, the FCM algorithm based on adaptive weighted spatial information is used to segment the crack features; then, the connectivity domain area filtering is used to remove the large noise points; finally, the coordinate point extraction and polynomial least squares are used to carry out the repair trajectory planning, and combined with the pavement crack detection and repair prototype simulation of the actual scene testing, to validate the reliability of the proposed approach.

Xiamen University (CN)
Sustainable cities and communities
Openalex Percentile: Top 81%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Image processing-based road crack recognition and repair trajectory planning approach — Zhiqin Cai, Bin Yao, et al. · (2024) | TGRS Research Map | TGRS