登录
首页 » matlab » 改进svm

改进svm

于 2021-03-06 发布
0 380
下载积分: 1 下载次数: 10

代码说明:

说明:  phog方法提取图像特征,svm支持向量机进行分类,分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)

文件列表:

1_30.jpg, 7107 , 2020-04-21
1_30.jpg.txt, 4237 , 2020-05-24
2_30.jpg, 51795 , 2020-04-21
3_30.jpg, 37510 , 2020-04-21
4_30.jpg, 20977 , 2020-04-21
5_30.jpg, 66186 , 2020-04-21
Accuracy_GA_SVM.m, 1232 , 2020-05-09
Accuracy_PSO_SVM.m, 1233 , 2020-05-23
Accuracy_SVM.m, 1225 , 2020-05-23
anna_binMatrix.m, 1455 , 2020-05-04
anna_phog.m, 1818 , 2020-05-04
anna_phog_demo.m, 170 , 2020-05-24
anna_phogDescriptor.m, 1215 , 2020-05-04
Demo-image, 0 , 2020-05-09
Demo-image\0.jpg, 156403 , 2015-05-27
Demo-image\1.jpg, 91161 , 2015-05-27
Demo-image\10.jpg, 4101 , 2013-03-24
Demo-image\11.jpg, 156581 , 2015-05-27
Demo-image\12.jpg, 22357 , 2015-05-27
Demo-image\13.jpg, 11730 , 2013-03-24
Demo-image\14.jpg, 15632 , 2013-03-24
Demo-image\2.jpg, 155563 , 2015-05-27
Demo-image\3.jpg, 52060 , 2015-05-27
Demo-image\4.jpg, 127184 , 2015-05-27
Demo-image\5.jpg, 13811 , 2013-03-24
Demo-image\6.jpg, 16727 , 2013-03-24
Demo-image\7.jpg, 151037 , 2015-05-27
Demo-image\8.jpg, 138947 , 2015-05-27
Demo-image\9.jpg, 14759 , 2013-03-24
Demo-image\test, 0 , 2020-05-09
Demo-image\test\0.jpg, 52667 , 2020-04-21
Demo-image\test\0.jpg.txt, 5970 , 2020-04-23
Demo-image\test\1.jpg, 45562 , 2020-04-21
Demo-image\test\1.jpg.txt, 4633 , 2020-04-23
Demo-image\test\10.jpg, 56504 , 2020-04-21
Demo-image\test\10.jpg.txt, 4671 , 2020-04-23
Demo-image\test\11.jpg, 22861 , 2020-04-21
Demo-image\test\11.jpg.txt, 2884 , 2020-04-23
Demo-image\test\12.jpg, 13102 , 2020-04-21
Demo-image\test\12.jpg.txt, 5532 , 2020-04-23
Demo-image\test\13.jpg, 14343 , 2020-04-21
Demo-image\test\13.jpg.txt, 5435 , 2020-04-23
Demo-image\test\14.jpg, 19155 , 2020-04-23
Demo-image\test\14.jpg.txt, 6320 , 2020-04-23
Demo-image\test\2.jpg, 20783 , 2020-04-21
Demo-image\test\2.jpg.txt, 4115 , 2020-04-23
Demo-image\test\3.jpg, 53974 , 2020-04-21
Demo-image\test\3.jpg.txt, 5542 , 2020-04-23
Demo-image\test\4.jpg, 13718 , 2020-04-21
Demo-image\test\4.jpg.txt, 5774 , 2020-04-23
Demo-image\test\5.jpg, 9475 , 2020-04-21
Demo-image\test\5.jpg.txt, 4666 , 2020-04-23
Demo-image\test\6.jpg, 47424 , 2020-04-21
Demo-image\test\6.jpg.txt, 5205 , 2020-04-23
Demo-image\test\7.jpg, 34818 , 2020-04-21
Demo-image\test\7.jpg.txt, 5374 , 2020-04-23
Demo-image\test\8.jpg, 11194 , 2020-04-21
Demo-image\test\8.jpg.txt, 5287 , 2020-04-23
Demo-image\test\9.jpg, 3859 , 2020-04-21
Demo-image\test\9.jpg.txt, 2979 , 2020-04-23
Demo-image\u=2140437051,2007055591&fm=26&gp=0.jpg, 8892 , 2020-05-09
Demo.m, 1244 , 2020-04-23
GA_SVM_Demo.m, 973 , 2020-05-06
gaSVMcgForClass.m, 4351 , 2020-04-23
PSO_SVM_Demo.m, 807 , 2020-05-23
psoSVMcgForClass.m, 5928 , 2020-05-09
SVM_outputPicture.m, 2256 , 2020-05-24
test, 0 , 2020-05-09
test\1_01.jpg, 47431 , 2020-04-21
test\1_01.jpg.txt, 5465 , 2020-05-23
test\1_02.jpg, 11212 , 2020-04-21
test\1_02.jpg.txt, 4858 , 2020-05-23
test\1_03.jpg, 7350 , 2020-04-21
test\1_03.jpg.txt, 4096 , 2020-05-23
test\1_04.jpg, 12249 , 2020-04-21
test\1_04.jpg.txt, 5753 , 2020-05-23
test\1_05.jpg, 11837 , 2020-04-21
test\1_05.jpg.txt, 6228 , 2020-05-23
test\1_06.jpg, 10258 , 2020-04-21
test\1_06.jpg.txt, 5186 , 2020-05-23
test\1_07.jpg, 10492 , 2020-04-21
test\1_07.jpg.txt, 5177 , 2020-05-23
test\1_08.jpg, 10399 , 2020-04-21
test\1_08.jpg.txt, 4980 , 2020-05-23
test\1_09.jpg, 52667 , 2020-04-21
test\1_09.jpg.txt, 5970 , 2020-05-23
test\1_10.jpg, 50159 , 2020-04-21
test\1_10.jpg.txt, 5165 , 2020-05-23
test\2_01.jpg, 43136 , 2020-04-21
test\2_01.jpg.txt, 5450 , 2020-05-23
test\2_02.jpg, 41310 , 2020-04-21
test\2_02.jpg.txt, 5863 , 2020-05-23
test\2_03.jpg, 41105 , 2020-04-21
test\2_03.jpg.txt, 5690 , 2020-05-23
test\2_04.jpg, 64072 , 2020-04-21
test\2_04.jpg.txt, 6231 , 2020-05-23
test\2_05.jpg, 46495 , 2020-04-21
test\2_05.jpg.txt, 5142 , 2020-05-23
test\2_06.jpg, 9630 , 2020-04-21
test\2_06.jpg.txt, 4856 , 2020-05-23

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • wenlitezhengtiqu
    包括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数、求能量、熵、惯性矩、相关的均值和标准差作为最终8维纹理特征 (Including the calculation of co-occurrence matrix, normalized to the co-occurrence matrix, co-occurrence matrix calculation on the energy, entropy, moment of inertia, related to four texture parameters, find the energy, entropy, moment of inertia, related to the mean and standard deviation as the final eight-dimensional texture feature)
    2010-06-01 16:43:41下载
    积分:1
  • ICA
    模式识别中运用ICA进行特征提取的matlab代码(Pattern Recognition in the use of ICA for feature extraction matlab code)
    2009-03-06 17:08:25下载
    积分:1
  • Application_study_of_wavelet_analysis_on_ultrasoni
    说明:  :在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响,导致有用信号与高 噪声信号迭加在一起,严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解,适当设置门限阈值对小波 系数进行处理,然后对信号进行重构,有效地抑制了信号中噪声对测量精度的影响。研究结果表明:小波方法有很好的降低回 波信号中噪声的效果,其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment,such as air bubbles and disturbed sediment and mechanical noise.Because of these factors, the useful signals and the high noise signals are combined together,which seriously affects the distance measurement precision.Ultrasonic echo signals are decomposed into three layer wavelets,and a threshold is set to process the wavelet coeficients.Then the signals are reconstructed.Accordingly the influence of environment noise on distance measurement precision is effectively restrained.Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals.Its precision is higher than that of the adaptive filtering method.)
    2010-04-24 08:14:49下载
    积分:1
  • 基于OPENCV的SIFT特征提取与匹配算法 OPENCV_SIFT_VC6
    基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现,对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装(1)OpenCV: http://opencvlibrary.sourceforge.net (2)SIFT: http://web.engr.oregonstate.edu/~hess/index.html,并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)
    2020-06-26 03:00:02下载
    积分:1
  • grandopen-close
    利用idl语言实现图像的数学形态学开闭重建运算,比提取梯度图像。(Idl language use mathematical morphological opening and closing image reconstruction operations, compared to extract gradient image.)
    2020-09-04 09:48:06下载
    积分:1
  • EEMD
    信号进行EEMD分,作为希尔伯特黄变换的基础(try to decompose signal using EEMD,which as the Hilbert Huang Transtion basis)
    2012-10-21 21:34:14下载
    积分:1
  • SAR强度分布拟合
    说明:  通过高斯、指数、瑞利、gamma、pearson、weibull模型分别对同质区域的SAR图像的强度分布进行拟合(The intensity distributions of SAR images in homogeneous regions are fitted by Gauss, exponential, Rayleigh, gamma, Pearson and Weibull models respectively.)
    2020-06-16 14:00:01下载
    积分:1
  • btp2
    一个很好用的bmp图像转protelPCB封装库,如果有需要在pcb中插入图像,汉字的朋友可以下载(bmp to protel99,it s a good tool,welcom to download)
    2011-01-17 10:11:04下载
    积分:1
  • 1088736_dssz
    随机中点位移法matlab程序代码,生成三维山地模型(Random Midpoint Displacement Method for Mountains Generation)
    2021-03-23 14:39:17下载
    积分:1
  • 20 基于帧间差法进行视频目标检测
    说明:  利用帧间差分法对视频中的目标进行检测,动态,可运行(Target detection in video)
    2020-06-09 20:57:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载