{"title":"基于M-S能量的图像分割","authors":"Tian Yan, Wang Zhenghua, Xu Hongbo, Liu Jian","doi":"10.1109/ICOSP.2002.1181189","DOIUrl":null,"url":null,"abstract":"Image segmentation is a fundamental problem in the fields of image processing and computer vision with numerous applications. In this paper, an integral equation model applied in image segmentation is addressed. We discuss the links between Mumford-Shah's (M-S energy) and image segmentation. We develop a feasible algorithm for the variational problem in dimension one and then extend it to dimension two (image). A few experimental results in dimension one and two are displayed.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image segmentation based on M-S energy\",\"authors\":\"Tian Yan, Wang Zhenghua, Xu Hongbo, Liu Jian\",\"doi\":\"10.1109/ICOSP.2002.1181189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image segmentation is a fundamental problem in the fields of image processing and computer vision with numerous applications. In this paper, an integral equation model applied in image segmentation is addressed. We discuss the links between Mumford-Shah's (M-S energy) and image segmentation. We develop a feasible algorithm for the variational problem in dimension one and then extend it to dimension two (image). A few experimental results in dimension one and two are displayed.\",\"PeriodicalId\":159807,\"journal\":{\"name\":\"6th International Conference on Signal Processing, 2002.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Signal Processing, 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2002.1181189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image segmentation is a fundamental problem in the fields of image processing and computer vision with numerous applications. In this paper, an integral equation model applied in image segmentation is addressed. We discuss the links between Mumford-Shah's (M-S energy) and image segmentation. We develop a feasible algorithm for the variational problem in dimension one and then extend it to dimension two (image). A few experimental results in dimension one and two are displayed.
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