Jeremy A. Argosino, Marie Aila B. Capistrano, Lisette S. Salido, J. Villaverde, A. Paglinawan
{"title":"Crack Width Measurement Using Unified Image Processing Techniques for Aging Structures","authors":"Jeremy A. Argosino, Marie Aila B. Capistrano, Lisette S. Salido, J. Villaverde, A. Paglinawan","doi":"10.1145/3384613.3384635","DOIUrl":null,"url":null,"abstract":"Aging structures are structures that have been standing for several years already and even functional until this day. A crack is an early sign for the life prediction of the safety of a structure. The traditional method for monitoring of cracks is by visual inspection which can sometimes lead to data inconsistency. The researchers have proposed a crack recognition and measurement algorithms using several image processing techniques using bilateral filter as well as connected-component labelling and thresholding. Results showed an approximate of 90% in accuracy of crack recognition in the sample photos taken.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384613.3384635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aging structures are structures that have been standing for several years already and even functional until this day. A crack is an early sign for the life prediction of the safety of a structure. The traditional method for monitoring of cracks is by visual inspection which can sometimes lead to data inconsistency. The researchers have proposed a crack recognition and measurement algorithms using several image processing techniques using bilateral filter as well as connected-component labelling and thresholding. Results showed an approximate of 90% in accuracy of crack recognition in the sample photos taken.