cvcircle_cvrectangle_malloc(2)

结果：

3、使用ROI和cvSet创建一个金字塔式的图

#include "stdafx.h"

#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

int _tmain(int argc, _TCHAR* argv[])
{
	
    IplImage * img = cvCreateImage(cvSize(210,210),IPL_DEPTH_8U,1);  
    cvZero(img);  
  
    int sclar;  
    int add;  
    int img_x, img_y;  
    sclar = 0;  
    add = 0;  
    img_x = 0;  
    img_y = 0;  
    while(add < 200)  
    {  
        //设置感兴趣区域  
        cvSetImageROI(img,cvRect(img_x, img_y, 210-sclar, 210-sclar));  
  
        cvSet(img, cvScalar(add));  
        img_x = img_x + 10;  
        img_y = img_y + 10;  
        add = add + 20;  
        sclar = sclar + 20;  
  
        //释放感兴趣区域  
        cvResetImageROI(img);  
    }  
  
    //显示图像  
    cvNamedWindow("Source");  
    cvShowImage("Source",img);  
    cvWaitKey(0);  
    cvDestroyWindow("Source");  
    cvReleaseImage(&img);  

	return 0;
}

结果：

4、针对一个一幅图像创建两个图像头，分别指向图像中的一个区域，再对两个图像头应用cvNot函数，然后显示图像

#include "stdafx.h"

#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

int _tmain(int argc, _TCHAR* argv[])
{
	IplImage * img = cvLoadImage("lena.jpg");

	IplImage * imgHeaderA = cvCreateImageHeader(cvSize(20,30),img->depth, img->nChannels);
	imgHeaderA->origin = img->origin;
	imgHeaderA->widthStep = img->widthStep;

	IplImage * imgHeaderB = cvCreateImageHeader(cvSize(20,30),img->depth, img->nChannels);
	imgHeaderB->origin = img->origin;
	imgHeaderB->widthStep = img->widthStep;

	imgHeaderA->imageData = img->imageData + img->widthStep * 10 + img->nChannels * 5;
	imgHeaderB->imageData = img->imageData + img->widthStep * 50 + img->nChannels * 60;

	cvNot(imgHeaderA,imgHeaderA);
	cvNot(imgHeaderB,imgHeaderB);

	cvNamedWindow("show an image", CV_WINDOW_AUTOSIZE);
	cvShowImage("show an image", img);
	cvWaitKey(0);
	cvReleaseImage(&img);
        cvReleaseImageHeader(&imgHeaderA);
        cvReleaseImageHeader(&imgHeaderB);
        cvDestroyWindow("show an image");



	return 0;
}

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