glcmmatlab代码-Two-MPS-Parameter-Optimization-Methods:两种MPS参数优化方法,基于GLCM的

上传者: 38547397 | 上传时间: 2022-06-17 11:47:12 | 文件大小: 141.69MB | 文件类型: ZIP
glcm matlab代码论文名称为“多点地统计的两种参数优化方法” 本文介绍了两种MPS参数优化方法的程序代码。 基于GLCM的方法的源代码是用MATLAB编写的,而深度学习程序代码是用c#.Net编写的。 1.基于GLCM的方法主程序是“ GLCM_Method.m”,它取决于“ GrayCoMatrix.m”和“ HsimSimilarity.m”。 基于GLCM的方法中使用的第三方代码包含“ sort_nat.m”,“ rotateticklabel.m”。 2.基于深度学习的方法主程序是基于ML.Net的“ Program.cs”。该程序包含代码文件,例如“ Preprocessing_ImageFolder”,“ ImageNetData.cs”,“ MyDataTable.cs”等。 。 在使用这些程序之前,请解压缩两个压缩文件“ demo data.rar”和“ ML_Assets.rar”。 文件“ demo data.rar”包含了本文使用的数据,包括训练图像通道的实现以及基于Snesim和simpat获得的分类。

文件下载

资源详情

[{"title":"( 64 个子文件 141.69MB ) glcmmatlab代码-Two-MPS-Parameter-Optimization-Methods:两种MPS参数优化方法,基于GLCM的","children":[{"title":"Two-MPS-Parameter-Optimization-Methods-master","children":[{"title":"DeepLearning_Method","children":[{"title":"DeepLearning_Method","children":[{"title":"SortHelper.cs <span style='color:#111;'> 3.99KB </span>","children":null,"spread":false},{"title":"ImageNetData.cs <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"DirHelper.cs <span style='color:#111;'> 12.24KB </span>","children":null,"spread":false},{"title":"ImageNetPrediction.cs <span style='color:#111;'> 228B </span>","children":null,"spread":false},{"title":"Program.cs <span style='color:#111;'> 7.10KB </span>","children":null,"spread":false},{"title":"MyDataTable.cs <span style='color:#111;'> 12.39KB </span>","children":null,"spread":false},{"title":"Pretreatment_ImageFolder.cs <span style='color:#111;'> 5.49KB </span>","children":null,"spread":false},{"title":"FileHelper.cs <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj <span style='color:#111;'> 419B </span>","children":null,"spread":false},{"title":"ConsoleProgressBar","children":[{"title":"Delegates.cs <span style='color:#111;'> 480B </span>","children":null,"spread":false},{"title":"Progress.cs <span style='color:#111;'> 6.90KB </span>","children":null,"spread":false},{"title":"ProgressChangedEventArgs.cs <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"ProgressBar.cs <span style='color:#111;'> 6.56KB </span>","children":null,"spread":false},{"title":"IConsole.cs <span style='color:#111;'> 358B </span>","children":null,"spread":false},{"title":"StringExtensions.cs <span style='color:#111;'> 5.64KB </span>","children":null,"spread":false},{"title":"SystemConsole.cs <span style='color:#111;'> 721B </span>","children":null,"spread":false}],"spread":true},{"title":"obj","children":[{"title":"Debug","children":[{"title":"netcoreapp3.1","children":[{"title":".NETCoreApp,Version=v3.1.AssemblyAttributes.cs <span style='color:#111;'> 186B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.pdb <span style='color:#111;'> 23.69KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.AssemblyInfo.cs <span style='color:#111;'> 1017B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.CopyComplete <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.assets.cache <span style='color:#111;'> 50.41KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.genruntimeconfig.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"apphost.exe <span style='color:#111;'> 170.50KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.dll <span style='color:#111;'> 33.00KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.AssemblyInfoInputs.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.CoreCompileInputs.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csprojAssemblyReference.cache <span style='color:#111;'> 10.43KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.FileListAbsolute.txt <span style='color:#111;'> 19.21KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.exe <span style='color:#111;'> 170.50KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"DeepLearning_Method.csproj.nuget.dgspec.json <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.nuget.g.props <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.nuget.g.targets <span style='color:#111;'> 587B </span>","children":null,"spread":false},{"title":"Release","children":[{"title":"netcoreapp3.1","children":[{"title":".NETCoreApp,Version=v3.1.AssemblyAttributes.cs <span style='color:#111;'> 186B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.pdb <span style='color:#111;'> 20.19KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.AssemblyInfo.cs <span style='color:#111;'> 1019B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.CopyComplete <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.assets.cache <span style='color:#111;'> 50.41KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.genruntimeconfig.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"apphost.exe <span style='color:#111;'> 170.50KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.dll <span style='color:#111;'> 31.00KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.AssemblyInfoInputs.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.CoreCompileInputs.cache <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csprojAssemblyReference.cache <span style='color:#111;'> 11.16KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.csproj.FileListAbsolute.txt <span style='color:#111;'> 19.40KB </span>","children":null,"spread":false},{"title":"DeepLearning_Method.exe <span style='color:#111;'> 170.50KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"project.assets.json <span style='color:#111;'> 251.41KB </span>","children":null,"spread":false},{"title":"project.nuget.cache <span style='color:#111;'> 13.46KB </span>","children":null,"spread":false}],"spread":true}],"spread":false},{"title":".vs","children":[{"title":"DeepLearning_Method","children":[{"title":"DesignTimeBuild","children":[{"title":".dtbcache.v2 <span style='color:#111;'> 67.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"v16","children":[{"title":".suo <span style='color:#111;'> 54.00KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"DeepLearning_Method.sln <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false}],"spread":true},{"title":"sort_nat.m <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"ML_Assets.part3.rar <span style='color:#111;'> 9.98MB </span>","children":null,"spread":false},{"title":"demo data.part03.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"demo data.part02.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"demo data.part04.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"GrayCoMatrix.m <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"ML_Assets.part2.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"rotateticklabel.m <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1000B </span>","children":null,"spread":false},{"title":"HsimSimilarity.m <span style='color:#111;'> 935B </span>","children":null,"spread":false},{"title":"ML_Assets.part1.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"GLCM_Method.m <span style='color:#111;'> 5.36KB </span>","children":null,"spread":false},{"title":"demo data.part01.rar <span style='color:#111;'> 20.00MB </span>","children":null,"spread":false},{"title":"demo data.part05.rar <span style='color:#111;'> 14.84MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明