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基于OpenCV的道路损伤识别算法研究

魏子柔 陈国华 高振山

现代信息科技2024,Vol.8Issue(15):104-108,5.
现代信息科技2024,Vol.8Issue(15):104-108,5.DOI:10.19850/j.cnki.2096-4706.2024.15.022

基于OpenCV的道路损伤识别算法研究

Research on Road Damage Recognition Algorithm Based on OpenCV

魏子柔 1陈国华 1高振山1

作者信息

  • 1. 石家庄铁道大学,河北 石家庄 050043
  • 折叠

摘要

Abstract

A crack backbone extraction algorithm is proposed based on image processing techniques such as median filtering,histogram equalization,and non-sharpening masks to address the issue of road surface conditions affecting the effectiveness of crack backbone extraction.The comparison result with manual threshold segmentation algorithm,Otsu threshold algorithm,and maximum entropy threshold segmentation algorithm shows that this algorithm can effectively extract the crack backbone area,reduce the number of image noise,and have important guiding significance for improving the anti-interference performance of road crack extraction algorithm.

关键词

图像处理/裂缝识别/滤波去噪

Key words

image processing/crack recognition/filtering and denoising

分类

信息技术与安全科学

引用本文复制引用

魏子柔,陈国华,高振山..基于OpenCV的道路损伤识别算法研究[J].现代信息科技,2024,8(15):104-108,5.

基金项目

省级大学生创新创业训练计划(S202310107082) (S202310107082)

现代信息科技

2096-4706

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