{"title":"偏微分方程图像恢复","authors":"Maouni Messaoud, F. Z. Nouri","doi":"10.1109/GMAI.2006.28","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a technique that has been recently introduced for a research in contours. This has been applied to different physical problems to detect noises in images and signals. For this purpose, our technique is based on the snake's (Serpent) method. Here, we present a mathematical analysis for the method and some numerical experiments","PeriodicalId":438098,"journal":{"name":"Geometric Modeling and Imaging--New Trends (GMAI'06)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image Restoration by Partial Differential Equations\",\"authors\":\"Maouni Messaoud, F. Z. Nouri\",\"doi\":\"10.1109/GMAI.2006.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a technique that has been recently introduced for a research in contours. This has been applied to different physical problems to detect noises in images and signals. For this purpose, our technique is based on the snake's (Serpent) method. Here, we present a mathematical analysis for the method and some numerical experiments\",\"PeriodicalId\":438098,\"journal\":{\"name\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMAI.2006.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geometric Modeling and Imaging--New Trends (GMAI'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMAI.2006.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Restoration by Partial Differential Equations
In this paper, we propose a technique that has been recently introduced for a research in contours. This has been applied to different physical problems to detect noises in images and signals. For this purpose, our technique is based on the snake's (Serpent) method. Here, we present a mathematical analysis for the method and some numerical experiments