<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[C_Freed的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/C_Freed</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; C_Freed]]></copyright><item><title><![CDATA[《自动控制原理》（胥布工版）二阶系统时域分析（使用GUI）]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/23512143</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/23512143</guid><author>C_Freed</author><pubDate>Sat, 12 Apr 2014 09:20:40 +0800</pubDate><description><![CDATA[闲来没事，想到刚学完的《自动控制原理》中的]]></description><category></category></item><item><title><![CDATA[《自动控制原理》（胥布工版）习题3-4（使用GUI）]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/23141361</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/23141361</guid><author>C_Freed</author><pubDate>Tue, 08 Apr 2014 00:25:23 +0800</pubDate><description><![CDATA[chuci]]></description><category></category></item><item><title><![CDATA[《自动控制原理》（胥布工版）习题2-21]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/22308635</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/22308635</guid><author>C_Freed</author><pubDate>Thu, 27 Mar 2014 18:29:18 +0800</pubDate><description><![CDATA[2-21    已知某单位负反馈的开环传递函数为：
                

                试在MATLAB环境下，分别求系统的单位脉冲响应和单位阶跃响应。


解：    因为系统的开环传递函数为G(s)，反馈函数为H(s)，所以系统的传递函数应为：
                


MATLAB代码如下：

%%%%%%%%%%%%%%%]]></description><category></category></item><item><title><![CDATA[STM32自带的IIC配置]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/21707997</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/21707997</guid><author>C_Freed</author><pubDate>Fri, 21 Mar 2014 12:21:23 +0800</pubDate><description><![CDATA[以下是main.c中的内容：
//**********************************************************
// 使用STM32F103自带的IIC，利用IIC2实现STM32与EEPROM芯片
// AT24C02间的数据传输。传输成功在LCD上显示。
// 试验平台为正点原子的ALIENTEK战舰开发板
//********************]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》codebook法+连通域法(page319)]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19493085</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19493085</guid><author>C_Freed</author><pubDate>Wed, 19 Feb 2014 16:34:19 +0800</pubDate><description><![CDATA[codebook能够通过学习，消除轻微移动的背景（如摇摆的树叶）的影响；而连通域法能够消除背景建模产生的少量噪声，从而产生一个相对精确的目标轮廓。另外通过测试，codebook一个可能的最大的缺点是对光线非常敏感。
#include "cv.h"	
#include "highgui.h"
#include "cxcore.h"

/*******************************]]></description><category></category></item><item><title><![CDATA[codebook背景建模原理]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19427015</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19427015</guid><author>C_Freed</author><pubDate>Tue, 18 Feb 2014 21:15:36 +0800</pubDate><description><![CDATA[CodeBook（码本）算法的基本思想是得到每个像素的时间序列模型。这种模型能很好地处理时间起伏，缺点是需要消耗大量的内存。CodeBook算法为当前图像的每一个像素建立一个CodeBook(CB)结构，每个CodeBook结构又由多个CodeWord(CW)（码字，或者是码元：CodeElement）组成。CB和CW的形式如下：

        CB = { CW1, CW2, … CWn]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》codebook法实现背景建模(page308)]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19424925</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19424925</guid><author>C_Freed</author><pubDate>Tue, 18 Feb 2014 20:42:23 +0800</pubDate><description><![CDATA[对着书本、例程研究了一个下午，感觉codebook还是难以理解。将例程分解成一句一句就能够看懂，但综合起来就不太懂了。
/**********************************************************************************************/
/*	A few more thoughts on codebook models]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》平均距离法实现背景建模(page300)]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19418467</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19418467</guid><author>C_Freed</author><pubDate>Tue, 18 Feb 2014 17:29:01 +0800</pubDate><description><![CDATA[/********************************************************************************************
	Averaging Background Method
	平均背景法
	We’ve just seen a simple method of learning background scenes and seg]]></description><category></category></item><item><title><![CDATA[协方差的意义]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19410241</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19410241</guid><author>C_Freed</author><pubDate>Tue, 18 Feb 2014 15:02:09 +0800</pubDate><description><![CDATA[《学习OpenCV》中第307页有说到协方差。翻开大一的《概率论与数理统计》，发现只有协方差的定义、计算方法等，而没有协方差的实际意义。下面是一篇比较清楚介绍协方差意义的文章：


在概率论中，两个随机变量 X 与 Y 之间相互关系，大致有下列3种情况：







当 X, Y 的联合分布像上图那样时，我们可以看出，大致上有： X 越大  Y 也越大， X 越小  Y 也]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习8-5]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19329427</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19329427</guid><author>C_Freed</author><pubDate>Mon, 17 Feb 2014 11:24:11 +0800</pubDate><description><![CDATA[在黑色背景上画一个半径为200白色的圆，理论上其周长应该为2π*200≈1267 。检测该图像的轮廓，计算轮廓的长度；然后分别使用1/90，1/66，1/11，1/10，1/2，1，3作为精度参数，使用cvApproxPoly()逼近，计算轮廓长度。得出轮廓长度约为理论值的一半。
#include "cv.h"
#include "highgui.h"

/*某些颜色的宏定义*/
#define]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习8-1（有问题，未解决，求高人指教）]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19303153</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19303153</guid><author>C_Freed</author><pubDate>Sun, 16 Feb 2014 23:18:14 +0800</pubDate><description><![CDATA[使用两个滑动条与仿射变换函数，可以实现图像的缩放与旋转；使用另外一个滑动条，可以实现图像阈值化阈值的设置，然后根据阈值化后的二值图像画出图像的轮廓；最后想利用cvFindDominantPoints函数实现查找关键点功能，但失败，原因还在查找当中，求高人指教。
#include "cv.h"
#include "highgui.h"
#include "stdio.h"
#include]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习7-6]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19252189</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19252189</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:51:36 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"

//*****************************************************
//画直方图函数：根据输入图像，显示HSV二维直方图
//src        ：指向输入图像的指针
//h_bins     ：H分量(hue色调)在直方图里划分的等级
//s_bins     ：S分量(sa]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习7-3]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19251657</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19251657</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:42:05 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
#include "stdio.h"

//*****************************************************
//画直方图函数：根据输入图像，显示HSV二维直方图
//src        ：指向输入图像的指针
//h_bins     ：H分量(hue色调)在直方图里划分的等级
/]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习7-2]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19251327</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19251327</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:35:55 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
#include "stdio.h"

//*****************************************************
//画直方图函数：根据输入图像，显示HSV二维直方图
//src        ：指向输入图像的指针
//h_bins     ：H分量(hue色调)在直方图里划分的等级
/]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习7-1]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19251117</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19251117</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:32:09 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
#include "stdio.h"

int main()
{
	/*产生10000随机数，并将随机数储存于一个1*10000像素的图像中*/
	CvRNG rng;
	rng = cvRNG( cvGetTickCount() );
    IplImage* mat = cvCreateImage( cvSize(1,]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习6-7]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19250763</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19250763</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:24:23 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
/*canny检测中的高低阈值*/
double lowthresh = 0;														
double highthresh[] = { 25, 75, 125, 175, 225 };
/*canny检测中高低阈值的比例*/
double prop[] = { 1.5, 2.75, 4 };
int ma]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习6-5]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19250705</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19250705</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:21:59 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
#include "stdio.h"

/*设置图像尺寸*/
const CvSize size = cvSize(400,400);
/*cvSobel()函数的参数，为方形滤波器的宽或高，可以为1,3,5,7,9...*/
const int aperture[] = { 3, 5, 9, 11, 13, 17 };		]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习6-2]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19250571</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19250571</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:17:45 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"

int main()
{
	float a_kernel[] = { 1.0/16, 2.0/16, 1.0/16,
					     2.0/16, 4.0/16, 2.0/16,
					     1.0/16, 2.0/16, 1.0/16 };							//创建问题a中核的元素
	float b_kerne]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》摄像头影像处理]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19250329</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19250329</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:13:24 +0800</pubDate><description><![CDATA[分别对电脑摄像头输入的影像进行各种处理。
#include "highgui.h"
#include "cv.h"
#include "stdio.h"
#include 

//*****************************************************
//主函数
//***********************************************]]></description><category></category></item><item><title><![CDATA[《学习OpenCV》练习5-11]]></title><link>https://blog.youkuaiyun.com/C_Freed/article/details/19250153</link><guid>https://blog.youkuaiyun.com/C_Freed/article/details/19250153</guid><author>C_Freed</author><pubDate>Sat, 15 Feb 2014 20:06:45 +0800</pubDate><description><![CDATA[#include "cv.h"
#include "highgui.h"
#include "stdio.h"
#include 
//#pragma comment(lib, "opencv_legacy244.lib")

//*****************************************************
//主函数
//**********************]]></description><category></category></item></channel></rss>