{"title":"基于偏微分方程和各向异性扩散的边缘检测","authors":"Samir Belfkih, P. Montesinos, Régis Beuscart","doi":"10.1109/ISSPA.2003.1224763","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new edge detection operator using partial differential equation (PDE) for grey level and color images. We propose a new approach in order to obtain a new anisotropic edge detection method based on the crossing of the second derivative. We show here that edges can be robustly extracted without lost of precision. We present various results on synthetic and real images.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Edge detection using on partial differential equation and anisotropic diffusion\",\"authors\":\"Samir Belfkih, P. Montesinos, Régis Beuscart\",\"doi\":\"10.1109/ISSPA.2003.1224763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a new edge detection operator using partial differential equation (PDE) for grey level and color images. We propose a new approach in order to obtain a new anisotropic edge detection method based on the crossing of the second derivative. We show here that edges can be robustly extracted without lost of precision. We present various results on synthetic and real images.\",\"PeriodicalId\":264814,\"journal\":{\"name\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2003.1224763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2003.1224763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge detection using on partial differential equation and anisotropic diffusion
In this paper we propose a new edge detection operator using partial differential equation (PDE) for grey level and color images. We propose a new approach in order to obtain a new anisotropic edge detection method based on the crossing of the second derivative. We show here that edges can be robustly extracted without lost of precision. We present various results on synthetic and real images.