<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[durpur的zurlur]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/durpur</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; durpur]]></copyright><item><title><![CDATA[matlab：如何把一个文件夹中的所有文件名提出来]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50287011</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50287011</guid><author>durpur</author><pubDate>Sun, 13 Dec 2015 21:50:40 +0800</pubDate><description><![CDATA[我的代码：


file_name=input('请输入待处理文件所在文件夹的名字：,需要单引号括起来');%输入样本所在文件夹的名字
fileFolder=fullfile(file_name);%这三步是为了把文件夹中的文件名提取出来
dirOutput=dir(fullfile(fileFolder,'*.bmp'));%这三步是为了把文件夹中的文件名提取出来
fileNames]]></description><category></category></item><item><title><![CDATA[C++：使用vector的元素]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50070167</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50070167</guid><author>durpur</author><pubDate>Fri, 27 Nov 2015 14:46:25 +0800</pubDate><description><![CDATA[摘自http://www.cnblogs.com/wang7/archive/2012/04/27/2474138.html]]></description><category></category></item><item><title><![CDATA[opencv：把三通道图转换成灰度图、二值图]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50066823</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50066823</guid><author>durpur</author><pubDate>Fri, 27 Nov 2015 10:11:43 +0800</pubDate><description><![CDATA[#include   
#include  
#include
using namespace cv;

int main()
{//main
Mat image_f= imread("ff16.bmp");
cvtColor(image_f,image_f,CV_BGR2GRAY);//三通道的图转化为1通道的灰度图
threshold(image_f,image_f,145,255,THRES]]></description><category></category></item><item><title><![CDATA[opencv：找到opencv官方的使用说明]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50066483</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50066483</guid><author>durpur</author><pubDate>Fri, 27 Nov 2015 09:51:02 +0800</pubDate><description><![CDATA[终于找到 opencv的使用说明文档的位置了，之前需要却没搜到，是我太笨吗 囧




http://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html?highlight=threshold#threshold]]></description><category></category></item><item><title><![CDATA[矩阵论：同一个线性变换在新基、旧基下表示成不同矩阵的关系]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50043899</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50043899</guid><author>durpur</author><pubDate>Wed, 25 Nov 2015 22:51:10 +0800</pubDate><description><![CDATA[csdn的博客不能只发图片不发文字吗？之前我的推导的照片怎么没有了]]></description><category></category></item><item><title><![CDATA[矩阵论：把线性变换用矩阵进行表示 的推导]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50043879</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50043879</guid><author>durpur</author><pubDate>Wed, 25 Nov 2015 22:49:12 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[matlab：安装ksvd工具包]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/50041609</link><guid>https://blog.youkuaiyun.com/durpur/article/details/50041609</guid><author>durpur</author><pubDate>Wed, 25 Nov 2015 19:50:39 +0800</pubDate><description><![CDATA[截图自：http://www.ilovematlab.cn/thread-225434-2-1.html


之前也看了这个readme.txt 但愣是没看懂是这个意思，看来英语还是太弱。


其中上面第四步里，添加到matlab path的按钮如下图，当时找了好久



如果不按readme.txt,里的步骤来的话，运行时会报这样的错：




如果按照readme]]></description><category></category></item><item><title><![CDATA[matlab：使用canny算子检测边缘]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49990817</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49990817</guid><author>durpur</author><pubDate>Mon, 23 Nov 2015 09:09:05 +0800</pubDate><description><![CDATA[clc
clear all
close all
I = imread('cameraman.tif');  % 读入图像
imshow(I);title('原图')
BW1 = edge(I,'canny');  % 调用canny函数
figure,imshow(BW1);  % 显示分割后的图像，即梯度图像
title('Canny')


摘自http://zhidao.]]></description><category></category></item><item><title><![CDATA[matlab：逐个读取文件夹里以数字命名的图片]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49979797</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49979797</guid><author>durpur</author><pubDate>Sun, 22 Nov 2015 18:26:14 +0800</pubDate><description><![CDATA[ff=imread(['E:\项目视频及结果汇总\图像处理视频及图像\镜头模糊\1\',num2str(k),'.bmp']);]]></description><category></category></item><item><title><![CDATA[opencv：轮廓属性]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49975599</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49975599</guid><author>durpur</author><pubDate>Sun, 22 Nov 2015 09:42:09 +0800</pubDate><description><![CDATA[1. Aspect Ratio宽与高之比 

cv2.boundingRect(cnt)
2. Extent 目标面积 占 边界矩形框 的比例
area = cv2.contourArea(cnt)
x,y,w,h = cv2.boundingRect(cnt)
rect_area = w*h
extent = float(area)/rect_area
3. Solidity 目标面积]]></description><category></category></item><item><title><![CDATA[matlab：cell的元素的调用—— acell(2)相比acell{2}]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49975419</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49975419</guid><author>durpur</author><pubDate>Sun, 22 Nov 2015 08:51:01 +0800</pubDate><description><![CDATA[K>> acell={1,[1 2],[1 2 3]}


acell = 


    [1]    [1x2 double]    [1x3 double]


K>> acell(2)


ans = 


    [1x2 double]



K>> acell{2}


ans =


     1     2





注]]></description><category></category></item><item><title><![CDATA[matlab：把cell中的某个元素删去]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49975413</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49975413</guid><author>durpur</author><pubDate>Sun, 22 Nov 2015 08:42:00 +0800</pubDate><description><![CDATA[>> mn{1}=[1 2]


mn = 


    [1x2 double]


>> mn{2}=[1 2 3]


mn = 


    [1x2 double]    [1x3 double]


>> mn{3}=[1 2 3 4]


mn = 


    [1x2 double]    [1x3 double]    [1x4 ]]></description><category></category></item><item><title><![CDATA[matlab：判断变量是否为空]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49965875</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49965875</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 16:59:59 +0800</pubDate><description><![CDATA[isempty(a)
a若为空返回1，不为空返回0






















摘自http://www.ilovematlab.cn/thread-25865-1-1.html]]></description><category></category></item><item><title><![CDATA[matlab：创建cell结构体]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49965555</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49965555</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 16:33:11 +0800</pubDate><description><![CDATA[>> a=[1 2]


>> b=[1 2 3]


>> c=5




>> x_cell={a,b,c} %第一法


x_cell =     [1x2 double]    [1x3 double]    [5]


>> x_cell{4}=a %第二法


x_cell =     [1x2 double]    [1x3 double]  ]]></description><category></category></item><item><title><![CDATA[matlab：求两个集合的 交集 和 并集]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49965509</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49965509</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 16:29:53 +0800</pubDate><description><![CDATA[求交集：
>> aa=[1 2 3]

>> bb=[2 3 4]

>> intersect(aa,bb)

ans =     2     3

求并集：
>> union(aa,bb)

ans =     1     2     3     4]]></description><category></category></item><item><title><![CDATA[matlab：统计矩阵中某元素的个数]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49964827</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49964827</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 15:28:27 +0800</pubDate><description><![CDATA[H=randint(3)
length(find(H==1))


摘自http://www.ilovematlab.cn/thread-141513-1-1.html]]></description><category></category></item><item><title><![CDATA[matlab ：找到某个元素并返回该元素的位置(行列数)]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49962851</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49962851</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 11:08:43 +0800</pubDate><description><![CDATA[A = [1 2 3;3 4 5;5 6 7]
[m,n] = find(A==3)



摘自http://zhidao.baidu.com/link?url=YcEodQPK7ksYYgybGXXWqdN7QuIC3J_nb0xP95kf8eaLzg0XAW0qFuwA-EzEIoaUQ8qt8pIVRy796dATd5bdTa]]></description><category></category></item><item><title><![CDATA[matlab ：产生一定尺寸一定范围内的随机矩阵，并将小于阈值的数置零]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49962715</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49962715</guid><author>durpur</author><pubDate>Sat, 21 Nov 2015 10:57:36 +0800</pubDate><description><![CDATA[a=randint(3,4,[-5 5])
a(find(a














摘自http://www.ilovematlab.cn/thread-70318-1-1.html]]></description><category></category></item><item><title><![CDATA[opencv：边缘特征]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49944305</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49944305</guid><author>durpur</author><pubDate>Fri, 20 Nov 2015 10:54:36 +0800</pubDate><description><![CDATA[越来越发现，英文技术资料的质量逼中文的好太多了。以后尽量不看中文的
本文是这一帖子的笔记：http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.html


内容提要：
一.ope]]></description><category></category></item><item><title><![CDATA[opencv：检测边缘]]></title><link>https://blog.youkuaiyun.com/durpur/article/details/49944237</link><guid>https://blog.youkuaiyun.com/durpur/article/details/49944237</guid><author>durpur</author><pubDate>Fri, 20 Nov 2015 10:50:21 +0800</pubDate><description><![CDATA[转载自 http://bubuko.com/infodetail-484534.html
void findContours(InputOutputArray image, OutputArrayOfArrays
 contours, OutputArray hierarchy, int mode, intmethod, Point offset=Point())

其实没有细看，只是做个]]></description><category></category></item></channel></rss>