OPENCV中数字图像处理知识运用

cvZero()；是让矩阵的值都为0，有初始化的作用，或者说清零~
比如说：IplImage img=cvCreateImage(cvSize(640,480),IPL_DEPTH_8U,1);%创建一幅图像
cvZero(img);%相当于初始化图片，值都为0，矩阵大小为640*480
cvShowImage("img",img);%就显示一幅黑色，且值都为零的图像

cvCircle(CvArr* img, CvPoint center, int radius, CvScalar color, int thickness=1, int lineType=8, int shift=0)

img为图像指针，单通道多通道都行，不需要特殊要求

center为画圆的圆心坐标

radius为圆的半径

color为设定圆的颜色，比如用CV_RGB(255, 0,0)设置为红色

thickness为设置圆线条的粗细，值越大则线条越粗，为负数则是填充效果

   1:  #include"stdafx.h"

   2:  #include"opencv2/opencv.hpp"

   3:  #include"opencv2/opencv_modules.hpp"

   4:  #include"cv.h"

   5:  #include"cxcore.h"

   6:  #include"highgui.h"

   7:   

   8:  #define RaderImageWdith 720

   9:  #define RaderImageHeight 720

  10:   

  11:   

  12:  /*******************从文件中读取一副图像并在屏幕中显示***********************/

  13:  int main()

  14:  {

  15:    /*********************雷达数据处理*********************/

  16:    IplImage* RaderImage = cvCreateImage(cvSize(RaderImageWdith,RaderImageHeight),IPL_DEPTH_8U,1);

  17:    cvZero(RaderImage);

  18:    int dx =  RaderImageWdith/2;

  19:    int dy =  RaderImageHeight*3/4;

  20:    cvCircle(RaderImage, cvPoint(dx,dy),3, CV_RGB(0,255,255), -1, 8,0);

  21:    cvShowImage("RaderImage",RaderImage);

  22:      

  23:      

  24:      

  25:      

  26:      

  27:      

  28:      

  29:      

  30:      //定义一个字符指针，并指向图片所在的位置

  31:    char *PFileName;

  32:    PFileName = "D:\\Pictures\\parrot.jpg";

  33:    //读取一张图片并载入内存，并用一个数据结构指针指向这张图片

  34:    IplImage *Img = cvLoadImage(PFileName);

  35:    if(NULL == Img)//如果读入失败，退出程序

  36:        exit(1);

  37:    //创建一个窗体，标题为Example，自增益

  38:    cvNamedWindow("Example",1);

  39:   

  40:     //用指针指向图像的数据区头部

  41:    uchar *pchar;

  42:    int width = Img ->width;          //读取图像宽度

  43:    int height = Img ->height;       //读取图像高度

  44:    int channel = Img ->nChannels;   //读取图像的通道数

  45:    int widthStep = Img ->widthStep;//读取图像一行像素所占的字节数

  46:    int i,j;

  47:    for(i = 0; i < height ; i++)   //以下是遍历一副图像中的每个像素点

  48:    {

  49:        pchar = (uchar*)Img ->imageData + i * widthStep;

  50:        for(j = 0; j < width; j++)

  51:        {

  52:            uchar *temp = pchar + j * channel;

  53:            temp[0] += 10;  //通道B

  54:            temp[1] += 10;  //通道G

  55:            temp[2] += 10;  //通道R

  56:        }

  57:    }

  58:    //在窗口中显示这张图片

  59:    cvShowImage("Example",Img);

  60:    //暂停程序，等待用户触发一个按键

  61:    cvWaitKey(0);

  62:    //释放图像所分配的内存空间

  63:    cvReleaseImage(&Img);

  64:    //销毁窗口

  65:    cvDestroyWindow("Example");

  66:    return 0;

  67:  }

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