Jeremy A. Argosino, Marie Aila B. Capistrano, Lisette S. Salido, J. Villaverde, A. Paglinawan
{"title":"基于统一图像处理技术的老化结构裂纹宽度测量","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":"{\"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}","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}
Crack Width Measurement Using Unified Image Processing Techniques for Aging Structures
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.