{"title":"基于集成矢量Radon变换的电力线检测","authors":"B. Alpatov, P. Babayan, N. Shubin","doi":"10.1109/MECO.2016.7525729","DOIUrl":null,"url":null,"abstract":"In this paper we suggest an approach to computational effective power line detection using the Integrated Vector Radon Transform (IVRT). The suggested IVRT-based approach uses gradient direction information. The experimental results show the effectiveness of the IVRT-based power line detection.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Power line detection using Integrated Vector Radon Transform\",\"authors\":\"B. Alpatov, P. Babayan, N. Shubin\",\"doi\":\"10.1109/MECO.2016.7525729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we suggest an approach to computational effective power line detection using the Integrated Vector Radon Transform (IVRT). The suggested IVRT-based approach uses gradient direction information. The experimental results show the effectiveness of the IVRT-based power line detection.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power line detection using Integrated Vector Radon Transform
In this paper we suggest an approach to computational effective power line detection using the Integrated Vector Radon Transform (IVRT). The suggested IVRT-based approach uses gradient direction information. The experimental results show the effectiveness of the IVRT-based power line detection.