{"title":"彩色图像边缘检测的自适应阈值选择","authors":"R. Demirci","doi":"10.1109/SIU.2010.5654414","DOIUrl":null,"url":null,"abstract":"An adaptive threshold selection algorithm for edge detection in colour images has been proposed in this paper. Initially, gradient of every component of colour images was calculated by using sobel operator. Then the centres of gravity of histogram of gradients are estimated and assigned to be thresholds for each colour component.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Adaptive threshold selection for edge detection in colour images\",\"authors\":\"R. Demirci\",\"doi\":\"10.1109/SIU.2010.5654414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive threshold selection algorithm for edge detection in colour images has been proposed in this paper. Initially, gradient of every component of colour images was calculated by using sobel operator. Then the centres of gravity of histogram of gradients are estimated and assigned to be thresholds for each colour component.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5654414\",\"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 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5654414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive threshold selection for edge detection in colour images
An adaptive threshold selection algorithm for edge detection in colour images has been proposed in this paper. Initially, gradient of every component of colour images was calculated by using sobel operator. Then the centres of gravity of histogram of gradients are estimated and assigned to be thresholds for each colour component.