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改进svm

于 2021-03-06 发布
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下载积分: 1 下载次数: 10
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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

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    由于前台开发人员经常需要通过RGB值指定各种各样的颜色，而通过这几个图片就可以马上找到某个颜色的RGB值，从而更快地编写网页(Foreground developers often need a variety of colors through RGB values ​ ​ specified by these pictures can immediately find the RGB value of a color, so to write Web pages faster)
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    积分：1
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    2020-11-24 15:19:32下载
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  • hough-circle
    读入图像，对图像进行预处理，随后检测边缘，对得到的图像进行二值化，然后进行hough变换，获得圆边界，将此图与原图叠加，增强边缘(Read in the image, the image pre-processing, followed by edge detection, binarization on the image to get, and then the hough transform to obtain the circular boundary, this map and the original image overlay to enhance the edge)
    2012-07-23 17:31:12下载
    积分：1
  • ellipse-detection-algorithm
    用matlab编写的进行椭圆检测的算法，用到Hough变换(Using matlab for ellipse detection algorithm, Hough transform is used)
    2011-07-05 14:54:42下载
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    说明：  培养学生综合利用Matlab解决专业问题的能力 GUI设计+图像处理 基于数字图像处理，设计实现一个自然场景下公路交通限速标志分割和识别的程序。要求系统具有界面，并实现以下功能： 1）读入自然场景下包含交通标志的图像； 2）对图像进行预处理； 3）限速交通标志的分割； 4）交通标志区域的定位。 5）对限速标志中的数字进行分离和识别。(MATLAB basic programming experiment 5)
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    用微分自相关法实现运动模糊图像模糊参数估计的功能，是目前较少公布的微分自相关法实现模糊参数估计。(Autocorrelation method with a differential image to achieve motion blur blur parameter estimation function, the differential is less published method fuzzy autocorrelation parameter estimation.)
    2011-12-28 10:46:55下载
    积分：1
  • main
    1.模式匹配：子串在主串中的定位，也叫字符串匹配。模式匹配成功是指在主串S中能够找到模式串T，否则，称模式串T在主串S中不存在。 2.模式匹配的应用在非常广泛。例如，在文本编辑程序中，我们经常要查找某一特定单词在文本中出现的位置。 3.模式匹配算法的研究能极大地提高文本编辑程序的响应性能。 (1 pattern matching: substring positioned in the main string, also called string matching. Pattern matching refers success can be found in the main string S pattern string T, otherwise known as pattern string T does not exist in the main string S. 2 pattern matching in a very wide range. For example, in a text-editing program, we often have to find the location of a particular word appears in the text. 3 study of pattern matching algorithms can greatly improve the response performance of text editing program.)
    2014-04-20 13:55:31下载
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