{"title":"图像处理中最优化计算的线性逼近方法","authors":"Tao Chen, Hong Chen","doi":"10.1109/SIMSYM.1992.227560","DOIUrl":null,"url":null,"abstract":"A novel modified linear approximation method (MLAM) is introduced for fast optimal calculation in image processing. The analytical properties of this new algorithm is discussed and its proof of convergence is given. Simulations have been conducted and experimental results show that, in terms of the solution seeking speed, MLAM can perform as much as 60% better than the bisection method, a typical method commonly used.<<ETX>>","PeriodicalId":215380,"journal":{"name":"Proceedings. 25th Annual Simulation Symposium","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A linear approximation method for optimum calculation in image processing\",\"authors\":\"Tao Chen, Hong Chen\",\"doi\":\"10.1109/SIMSYM.1992.227560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel modified linear approximation method (MLAM) is introduced for fast optimal calculation in image processing. The analytical properties of this new algorithm is discussed and its proof of convergence is given. Simulations have been conducted and experimental results show that, in terms of the solution seeking speed, MLAM can perform as much as 60% better than the bisection method, a typical method commonly used.<<ETX>>\",\"PeriodicalId\":215380,\"journal\":{\"name\":\"Proceedings. 25th Annual Simulation Symposium\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 25th Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIMSYM.1992.227560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 25th Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMSYM.1992.227560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A linear approximation method for optimum calculation in image processing
A novel modified linear approximation method (MLAM) is introduced for fast optimal calculation in image processing. The analytical properties of this new algorithm is discussed and its proof of convergence is given. Simulations have been conducted and experimental results show that, in terms of the solution seeking speed, MLAM can perform as much as 60% better than the bisection method, a typical method commonly used.<>
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