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
针对路面情况影响其裂缝主干提取效果的问题,基于中值滤波、直方图均衡化、非锐化掩模等图像处理手段,提出一种裂缝主干提取算法.与手动阈值分割算法、Otsu阈值算法和最大熵阈值分割算法的对比结果表明,此算法能够有效提取裂缝主干区域,减少图像噪点数量,对提高路面裂纹提取算法的抗干扰性具有重要的指导意义.
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引用本文复制引用
基金项目
省级大学生创新创业训练计划(S202310107082)
出版年
2024
国家科技期刊平台
NSTL
万方数据