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  图像处理模式识别一种分类算法：svm，对于所提取的图像的特征进行训练学习然后分类。(Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.)

文件列表：

svm程序
.......\libsvm-3.11
.......\...........\libsvm-3.11
.......\...........\...........\A.mat,8925,2012-04-08
.......\...........\...........\B.mat,10063,2012-04-08
.......\...........\...........\htm" target=_blank>COPYRIGHT,1497,2012-04-06
.......\...........\...........\FAQ.html,71213,2012-04-06
.......\...........\...........\htm" target=_blank>heart_scale,27670,2012-04-06
.......\...........\...........\java
.......\...........\...........\....\libsvm
.......\...........\...........\....\......\svm.java,62406,2012-04-06
.......\...........\...........\....\......\svm.m4,61755,2012-04-06
.......\...........\...........\....\......\svm_model.java,734,2012-04-06
.......\...........\...........\....\......\svm_node.java,115,2012-04-06
.......\...........\...........\....\......\svm_parameter.java,1288,2012-04-06
.......\...........\...........\....\......\svm_print_interface.java,87,2012-04-06
.......\...........\...........\....\......\svm_problem.java,136,2012-04-06
.......\...........\...........\....\libsvm.jar,50037,2012-04-06
.......\...........\...........\....\Makefile,624,2012-04-06
.......\...........\...........\....\svm_predict.java,4267,2012-04-06
.......\...........\...........\....\svm_scale.java,8944,2012-04-06
.......\...........\...........\....\svm_toy.java,11483,2012-04-06
.......\...........\...........\....\svm_train.java,8268,2012-04-06
.......\...........\...........\....\test_applet.html,81,2012-04-06
.......\...........\...........\Makefile,559,2012-04-06
.......\...........\...........\Makefile.win,1087,2012-04-06
.......\...........\...........\matlab
.......\...........\...........\......\libsvmread.c,4014,2012-04-06
.......\...........\...........\......\libsvmwrite.c,2148,2012-04-06
.......\...........\...........\......\make.m,799,2012-04-06
.......\...........\...........\......\Makefile,1499,2012-04-06
.......\...........\...........\......\htm" target=_blank>README,9618,2012-04-06
.......\...........\...........\......\svmpredict.c,9263,2012-04-06
.......\...........\...........\......\svmtrain.c,11371,2012-04-06
.......\...........\...........\......\svm_model_matlab.c,7722,2012-04-06
.......\...........\...........\......\svm_model_matlab.h,201,2012-04-06
.......\...........\...........\python
.......\...........\...........\......\Makefile,32,2012-04-06
.......\...........\...........\......\htm" target=_blank>README,11051,2012-04-06
.......\...........\...........\......\svm.py,8602,2012-04-06
.......\...........\...........\......\svmutil.py,8119,2012-04-06
.......\...........\...........\htm" target=_blank>README,27193,2012-04-06
.......\...........\...........\svm-predict.c,5381,2012-04-06
.......\...........\...........\svm-scale.c,7042,2012-04-06
.......\...........\...........\svm-toy
.......\...........\...........\.......\gtk
.......\...........\...........\.......\...\callbacks.cpp,9742,2012-04-06
.......\...........\...........\.......\...\callbacks.h,1765,2012-04-06
.......\...........\...........\.......\...\interface.c,6457,2012-04-06
.......\...........\...........\.......\...\interface.h,203,2012-04-06
.......\...........\...........\.......\...\main.c,398,2012-04-06
.......\...........\...........\.......\...\Makefile,573,2012-04-06
.......\...........\...........\.......\...\svm-toy.glade,6402,2012-04-06
.......\...........\...........\.......\qt
.......\...........\...........\.......\..\Makefile,392,2012-04-06
.......\...........\...........\.......\..\svm-toy.cpp,9153,2012-04-06
.......\...........\...........\.......\windows
.......\...........\...........\.......\.......\svm-toy.cpp,10807,2012-04-06
.......\...........\...........\svm-train.c,8891,2012-04-06
.......\...........\...........\svm.cpp,62947,2012-04-06
.......\...........\...........\svm.def,434,2012-04-06
.......\...........\...........\svm.h,3129,2012-04-06
.......\...........\...........\tools
.......\...........\...........\.....\checkdata.py,2478,2012-04-06
.......\...........\...........\.....\easy.py,2699,2012-04-06
.......\...........\...........\.....\grid.py,11850,2012-04-06
.......\...........\...........\.....\htm" target=_blank>README,4728,2012-04-06
.......\...........\...........\.....\subset.py,3004,2012-04-06
.......\...........\...........\windows
.......\...........\...........\.......\libsvm.dll,140800,2012-04-06
.......\...........\...........\.......\libsvmread.mexw32,8192,2012-04-06
.......\...........\...........\.......\libsvmread.mexw64,10752,2012-04-06
.......\...........\...........\.......\libsvmwrite.mexw32,7680,2012-04-06
.......\...........\...........\.......\libsvmwrite.mexw64,9216,2012-04-06
.......\...........\...........\.......\svm-predict.exe,107008,2012-04-06
.......\...........\...........\.......\svm-scale.exe,80384,2012-04-06
.......\...........\...........\.......\svm-toy.exe,140800,2012-04-06
.......\...........\...........\.......\svm-train.exe,135680,2012-04-06
.......\...........\...........\.......\svmpredict.mexw32,20480,2012-04-06
.......\...........\...........\.......\svmpredict.mexw64,24064,2012-04-06
.......\...........\...........\.......\svmtrain.mexw32,49152,2012-04-06
.......\...........\...........\.......\svmtrain.mexw64,62976,2012-04-06
.......\thrshowsvm.m,504,2012-04-06

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  • similarity
    自相似特征（self-similarity）描述子的提取代码，算法见“Matching Local Self-Similarities across Images and Videos”(Self-similar characteristics (self-similarity) describe the extraction of sub-code, algorithms, see " Matching Local Self-Similarities across Images and Videos" )
    2010-01-19 21:19:31下载
    积分：1
  • avitoavi
    avi视频提取出书帧图像，然后对图像进行处理，经过处理后的图像帧再写成另一段的avi视频。(avi video video frame extracted, processed image frame, and then the images will be referred to the district into another frame of video avi.)
    2009-05-02 11:17:57下载
    积分：1
  • 1527531
    C-W节约算法是最经典的求解车辆路径问题的启发式算法,()
    2018-07-05 23:24:48下载
    积分：1
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    对火焰惊醒提取轮廓 并求取周长面积 圆形度(Woke up on the flame contour extraction and the degree to strike a circular perimeter area)
    2011-05-24 15:15:36下载
    积分：1
  • K-mean
    说明：  基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。(Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.)
    2011-03-30 21:26:31下载
    积分：1
  • dct-arnold
    基于DCT的数字水印算法 通过Arnold变换对水印进行置乱，增加了水印的鲁棒性，成功的实现了水印的嵌入和提取。(Arnold transform digital watermarking algorithm based on DCT watermark scrambling to increase the robustness of the watermark, the watermark embedding and extraction. )
    2012-03-05 20:33:24下载
    积分：1
  • weighted_median_filter
    一种中值滤波的改进方法，基于滤波窗口邻域权重的中值滤波。(A median filter improvement method, based on filtering window neighborhood the weights of the median filter.)
    2011-12-27 18:50:48下载
    积分：1
  • kmeans1
    基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点(Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm )
    2017-05-03 15:12:46下载
    积分：1
  • imagefusecode
    图像融合程序代码-matlab版本，对大家很有用哦(Image fusion program code-matlab version, useful for all of us, oh)
    2008-01-25 20:24:18下载
    积分：1
  • TTsaidemarcats
    Tsai标定算法，用用于图像标定的，可以使用 (Tsai calibration algorithm used for image calibration, you can use)
    2012-09-15 19:07:10下载
    积分：1
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