沥青路面裂缝图像稀疏与连通算法研究

Chu Yanli
{"title":"沥青路面裂缝图像稀疏与连通算法研究","authors":"Chu Yanli","doi":"10.1109/ISME.2010.265","DOIUrl":null,"url":null,"abstract":"The main research point is the thinning method to the pavement crack images through using mathematical morphology in this paper. The efficient steps of the thinning algorithm are given for binary images and the satisfactory thinned images are obtained through experiments. In some cases, the thinned images will produce cavities or breakpoints, it needs to be processed by closing method in order to keep the connctivity of the thinned images. Experimental result shows improvement in both operational speed and accuracy rate, and it is satisfatory. Expected to be applied to the automatic detection of road surface defects, for the highway management and maintenance department to provide scientific basis for decision-making.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Algorithm Study on Thinning and Keeping Connectivity of Bituminous Pavement Crack Images\",\"authors\":\"Chu Yanli\",\"doi\":\"10.1109/ISME.2010.265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main research point is the thinning method to the pavement crack images through using mathematical morphology in this paper. The efficient steps of the thinning algorithm are given for binary images and the satisfactory thinned images are obtained through experiments. In some cases, the thinned images will produce cavities or breakpoints, it needs to be processed by closing method in order to keep the connctivity of the thinned images. Experimental result shows improvement in both operational speed and accuracy rate, and it is satisfatory. Expected to be applied to the automatic detection of road surface defects, for the highway management and maintenance department to provide scientific basis for decision-making.\",\"PeriodicalId\":348878,\"journal\":{\"name\":\"2010 International Conference of Information Science and Management Engineering\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference of Information Science and Management Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISME.2010.265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference of Information Science and Management Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISME.2010.265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文主要研究的是利用数学形态学对路面裂缝图像进行细化的方法。给出了二值图像减薄算法的有效步骤,并通过实验得到了满意的减薄图像。在某些情况下,稀疏图像会产生空洞或断点,为了保持稀疏图像的连通性,需要对其进行闭合处理。实验结果表明,该方法提高了算法的运算速度和准确率,取得了满意的效果。有望应用于路面缺陷的自动检测,为公路管理养护部门的决策提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm Study on Thinning and Keeping Connectivity of Bituminous Pavement Crack Images
The main research point is the thinning method to the pavement crack images through using mathematical morphology in this paper. The efficient steps of the thinning algorithm are given for binary images and the satisfactory thinned images are obtained through experiments. In some cases, the thinned images will produce cavities or breakpoints, it needs to be processed by closing method in order to keep the connctivity of the thinned images. Experimental result shows improvement in both operational speed and accuracy rate, and it is satisfatory. Expected to be applied to the automatic detection of road surface defects, for the highway management and maintenance department to provide scientific basis for decision-making.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信