{"title":"具有非负空间相关参数的高阶Ambrosio–Tortorelli格式","authors":"Irene Fonseca, Pan Liu, Xin Yang Lu","doi":"10.1515/acv-2021-0071","DOIUrl":null,"url":null,"abstract":"Abstract The Ambrosio–Tortorelli approximation scheme with weighted underlying metric is investigated. It is shown that it Γ-converges to a Mumford–Shah image segmentation functional depending on the weight ω d x {\\omega\\,dx} , where ω is a special function of bounded variation, and on its values at the jumps.","PeriodicalId":49276,"journal":{"name":"Advances in Calculus of Variations","volume":"16 1","pages":"885 - 902"},"PeriodicalIF":1.3000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Higher order Ambrosio–Tortorelli scheme with non-negative spatially dependent parameters\",\"authors\":\"Irene Fonseca, Pan Liu, Xin Yang Lu\",\"doi\":\"10.1515/acv-2021-0071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The Ambrosio–Tortorelli approximation scheme with weighted underlying metric is investigated. It is shown that it Γ-converges to a Mumford–Shah image segmentation functional depending on the weight ω d x {\\\\omega\\\\,dx} , where ω is a special function of bounded variation, and on its values at the jumps.\",\"PeriodicalId\":49276,\"journal\":{\"name\":\"Advances in Calculus of Variations\",\"volume\":\"16 1\",\"pages\":\"885 - 902\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Calculus of Variations\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1515/acv-2021-0071\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Calculus of Variations","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1515/acv-2021-0071","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
Higher order Ambrosio–Tortorelli scheme with non-negative spatially dependent parameters
Abstract The Ambrosio–Tortorelli approximation scheme with weighted underlying metric is investigated. It is shown that it Γ-converges to a Mumford–Shah image segmentation functional depending on the weight ω d x {\omega\,dx} , where ω is a special function of bounded variation, and on its values at the jumps.
期刊介绍:
Advances in Calculus of Variations publishes high quality original research focusing on that part of calculus of variation and related applications which combines tools and methods from partial differential equations with geometrical techniques.