{"title":"基于熵算子的彩色图像边缘检测方法","authors":"Wang Na","doi":"10.1145/3411016.3411022","DOIUrl":null,"url":null,"abstract":"On the basis of making full use of the rich color information of color images, an edge detection method based on entropy operator in 1αβ space is proposed. In the color image space of 1αβ with the least correlation, the two-threshold method based on Shiozaki entropy operator is adopted to extract the edge of color image, which can effectively detect the edge of the region with little change in brightness, chroma or the region with dark light, and obtain rich edge information.","PeriodicalId":251897,"journal":{"name":"Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A color image edge detection method based on entropy operator\",\"authors\":\"Wang Na\",\"doi\":\"10.1145/3411016.3411022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On the basis of making full use of the rich color information of color images, an edge detection method based on entropy operator in 1αβ space is proposed. In the color image space of 1αβ with the least correlation, the two-threshold method based on Shiozaki entropy operator is adopted to extract the edge of color image, which can effectively detect the edge of the region with little change in brightness, chroma or the region with dark light, and obtain rich edge information.\",\"PeriodicalId\":251897,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3411016.3411022\",\"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 2nd International Conference on Industrial Control Network And System Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3411016.3411022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A color image edge detection method based on entropy operator
On the basis of making full use of the rich color information of color images, an edge detection method based on entropy operator in 1αβ space is proposed. In the color image space of 1αβ with the least correlation, the two-threshold method based on Shiozaki entropy operator is adopted to extract the edge of color image, which can effectively detect the edge of the region with little change in brightness, chroma or the region with dark light, and obtain rich edge information.
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