{"title":"一种基于小波多尺度的真彩色图像边缘检测方法","authors":"Feng Xiao, Mingquan Zhou, Guohua Geng","doi":"10.1109/ANTHOLOGY.2013.6784889","DOIUrl":null,"url":null,"abstract":"To make up the defect of conventional image edge detection methods which don't make full use of color image information, this paper puts forward a color image edge extraction algorithm based on wavelet multi-scale, where the image edges are extracted via the following two steps: firstly polishing the three components R, G, B by wavelet multi-scale features template; then preceding vector extended gradient after the polishing. Experimental results show the algorithm can effectively extract the true color image edge.","PeriodicalId":203169,"journal":{"name":"IEEE Conference Anthology","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel method of true color image edge detection based on wavelet multi-scale\",\"authors\":\"Feng Xiao, Mingquan Zhou, Guohua Geng\",\"doi\":\"10.1109/ANTHOLOGY.2013.6784889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To make up the defect of conventional image edge detection methods which don't make full use of color image information, this paper puts forward a color image edge extraction algorithm based on wavelet multi-scale, where the image edges are extracted via the following two steps: firstly polishing the three components R, G, B by wavelet multi-scale features template; then preceding vector extended gradient after the polishing. Experimental results show the algorithm can effectively extract the true color image edge.\",\"PeriodicalId\":203169,\"journal\":{\"name\":\"IEEE Conference Anthology\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference Anthology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTHOLOGY.2013.6784889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference Anthology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTHOLOGY.2013.6784889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel method of true color image edge detection based on wavelet multi-scale
To make up the defect of conventional image edge detection methods which don't make full use of color image information, this paper puts forward a color image edge extraction algorithm based on wavelet multi-scale, where the image edges are extracted via the following two steps: firstly polishing the three components R, G, B by wavelet multi-scale features template; then preceding vector extended gradient after the polishing. Experimental results show the algorithm can effectively extract the true color image edge.