首页 开发技术 其它     /    基于HOG特征提取的图像分类器

基于HOG特征提取的图像分类器

上传者: u012719417 | 上传时间:2016/2/17 1:30:36 | 文件大小:225KB | 文件类型:zip
基于HOG特征提取的图像分类器
基于HOG特征提取的图像分类器,首先提取图像的HOG特征,以此训练SVM分类器,使训练过后的SVM分类器能够自动对测试图像文件进行分类。
本套分类器的实现是基于Matlab言语开发。
Classify()是主函数。

文件下载

资源详情

[{"title":"(54个子文件225KB)基于HOG特征提取的图像分类器","children":[{"title":"Images_Classify_Based_On_HOG_Feature","children":[{"title":"CreateAllFeatureFiles.m <span style='color:#111;'>452B</span>","children":null,"spread":false},{"title":"Classify.m <span style='color:#111;'>497B</span>","children":null,"spread":false},{"title":"ReadXlsOfWalkRight.m <span style='color:#111;'>3.07KB</span>","children":null,"spread":false},{"title":"ReadXls.m <span style='color:#111;'>429B</span>","children":null,"spread":false},{"title":"PredictAllOneByOne.m <span style='color:#111;'>2.30KB</span>","children":null,"spread":false},{"title":"ReadMe.txt <span style='color:#111;'>350B</span>","children":null,"spread":false},{"title":"PredictImage.m <span style='color:#111;'>701B</span>","children":null,"spread":false},{"title":"ReadXlsOfRunRight.m <span style='color:#111;'>3.07KB</span>","children":null,"spread":false},{"title":"TrainClassifierByOne.m <span style='color:#111;'>1.64KB</span>","children":null,"spread":false},{"title":"SVMcgForClass.m <span style='color:#111;'>2.61KB</span>","children":null,"spread":false},{"title":"DoClassify.m <span style='color:#111;'>996B</span>","children":null,"spread":false},{"title":"svm","children":[{"title":"libsvmread.mexw64 <span style='color:#111;'>11.00KB</span>","children":null,"spread":false},{"title":"svmtrain.mexw32 <span style='color:#111;'>48.00KB</span>","children":null,"spread":false},{"title":"svmtrain.mexw64 <span style='color:#111;'>62.50KB</span>","children":null,"spread":false},{"title":"libsvmwrite.mexw64 <span style='color:#111;'>10.00KB</span>","children":null,"spread":false},{"title":"svmpredict.mexw32 <span style='color:#111;'>20.50KB</span>","children":null,"spread":false},{"title":"svmpredict.mexw64 <span style='color:#111;'>24.50KB</span>","children":null,"spread":false},{"title":"libsvm","children":[{"title":"matlab","children":[{"title":"svmtrain.c <span style='color:#111;'>11.10KB</span>","children":null,"spread":false},{"title":"libsvmread.mexw64 <span style='color:#111;'>10.50KB</span>","children":null,"spread":false},{"title":"svm_model_matlab.h <span style='color:#111;'>201B</span>","children":null,"spread":false},{"title":"svmtrain.mexw64 <span style='color:#111;'>60.00KB</span>","children":null,"spread":false},{"title":"svmpredict.c <span style='color:#111;'>9.05KB</span>","children":null,"spread":false},{"title":"libsvmwrite.mexw64 <span style='color:#111;'>9.00KB</span>","children":null,"spread":false},{"title":"libsvmwrite.c <span style='color:#111;'>2.10KB</span>","children":null,"spread":false},{"title":"svm_model_matlab.c <span style='color:#111;'>7.54KB</span>","children":null,"spread":false},{"title":"svmpredict.mexw64 <span style='color:#111;'>23.00KB</span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'>1.46KB</span>","children":null,"spread":false},{"title":"libsvmread.c <span style='color:#111;'>3.92KB</span>","children":null,"spread":false},{"title":"test.m <span style='color:#111;'>433B</span>","children":null,"spread":false},{"title":"README <span style='color:#111;'>9.39KB</span>","children":null,"spread":false},{"title":"make.m <span style='color:#111;'>799B</span>","children":null,"spread":false}],"spread":false},{"title":"svm.def <span style='color:#111;'>434B</span>","children":null,"spread":false},{"title":"svm.cpp <span style='color:#111;'>65.46KB</span>","children":null,"spread":false},{"title":"svm-scale.c <span style='color:#111;'>6.88KB</span>","children":null,"spread":false},{"title":"COPYRIGHT <span style='color:#111;'>1.46KB</span>","children":null,"spread":false},{"title":"Makefile.win <span style='color:#111;'>1.06KB</span>","children":null,"spread":false},{"title":"svm-train.c <span style='color:#111;'>10.53KB</span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'>746B</span>","children":null,"spread":false},{"title":"svm.h <span style='color:#111;'>3.27KB</span>","children":null,"spread":false},{"title":"svm-predict.c <span style='color:#111;'>6.15KB</span>","children":null,"spread":false},{"title":"heart_scale <span style='color:#111;'>27.02KB</span>","children":null,"spread":false},{"title":"README.dense <span style='color:#111;'>1.96KB</span>","children":null,"spread":false}],"spread":false},{"title":"libsvmwrite.mexw32 <span style='color:#111;'>8.00KB</span>","children":null,"spread":false},{"title":"libsvmread.mexw32 <span style='color:#111;'>8.50KB</span>","children":null,"spread":false}],"spread":true},{"title":"hog","children":[{"title":"HOG.m <span style='color:#111;'>1.85KB</span>","children":null,"spread":false},{"title":"license.txt <span style='color:#111;'>1.30KB</span>","children":null,"spread":false}],"spread":true},{"title":"ReadAllFeatureFiles.m <span style='color:#111;'>504B</span>","children":null,"spread":false},{"title":"CreateFeatureFile.m <span style='color:#111;'>599B</span>","children":null,"spread":false},{"title":"ReadXlsOfRunLeft.m <span style='color:#111;'>3.05KB</span>","children":null,"spread":false},{"title":"ReadXlsOfWalkLeft.m <span style='color:#111;'>3.06KB</span>","children":null,"spread":false},{"title":"RandomSelectImages.m <span style='color:#111;'>717B</span>","children":null,"spread":false},{"title":"TrainClassifier.m <span style='color:#111;'>1.39KB</span>","children":null,"spread":false},{"title":"PredictAllByOne.m <span style='color:#111;'>7.33KB</span>","children":null,"spread":false},{"title":"ReadXlsOfRunLeft_bak.m <span style='color:#111;'>2.69KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • liangyc111:
    只能说一般,给了程序,但是一些配置文件和训练的东西是没有的。2016-03-23
  • liangyc111:
    只能说一般,给了程序,但是一些配置文件和训练的东西是没有的。2016-03-23
  • caizouqing222:
    很不错的,真的,谢谢了2015-11-14
  • caizouqing222:
    很不错的,真的,谢谢了2015-11-14

免责申明

【好快吧下载】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,【好快吧下载】 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 【好快吧下载】 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,8686821#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