{"title":"比较数据包络分析的图像分割方法","authors":"Hassan Bozorgmanesh","doi":"10.52547/cmcma.1.1.48","DOIUrl":null,"url":null,"abstract":"In this paper, a model based on data envelopment analysis is used for comparing different image segmentation methods and also for the purpose of finding the best parameter among certain values for a method. The criteria for choosing inputs and outputs are explained and in the end, some examples are presented to demonstrate how this model works. Copyright c (cid:13) 2022 Shahid Beheshti University.","PeriodicalId":207178,"journal":{"name":"Computational Mathematics and Computer Modeling with Applications (CMCMA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing image segmentation methods using data envelopment analysis\",\"authors\":\"Hassan Bozorgmanesh\",\"doi\":\"10.52547/cmcma.1.1.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a model based on data envelopment analysis is used for comparing different image segmentation methods and also for the purpose of finding the best parameter among certain values for a method. The criteria for choosing inputs and outputs are explained and in the end, some examples are presented to demonstrate how this model works. Copyright c (cid:13) 2022 Shahid Beheshti University.\",\"PeriodicalId\":207178,\"journal\":{\"name\":\"Computational Mathematics and Computer Modeling with Applications (CMCMA)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Mathematics and Computer Modeling with Applications (CMCMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52547/cmcma.1.1.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Mathematics and Computer Modeling with Applications (CMCMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/cmcma.1.1.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing image segmentation methods using data envelopment analysis
In this paper, a model based on data envelopment analysis is used for comparing different image segmentation methods and also for the purpose of finding the best parameter among certain values for a method. The criteria for choosing inputs and outputs are explained and in the end, some examples are presented to demonstrate how this model works. Copyright c (cid:13) 2022 Shahid Beheshti University.