{"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}
引用次数: 7
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.