OpenCV通过设置ROI将图像平均分成N等分

来源：互联网发布：阿里云物联网编辑：程序博客网时间：2024/05/16 04:58

#include <opencv2/opencv.hpp>#include <iostream>using namespace std;int main(){IplImage *img = cvLoadImage("1.jpg");IplImage *sub_image1 = nullptr,*sub_image2 = nullptr,*sub_image3 = nullptr;CvRect rc1 = cvRect(0,0,img->width/3,img->height);CvRect rc2 = cvRect(img->width/3,0,img->width/3,img->height);CvRect rc3 = cvRect(img->width*2/3,0,img->width/3,img->height);sub_image1 = cvCreateImage(cvSize( rc1.width, rc1.height),IPL_DEPTH_8U,3);sub_image2 = cvCreateImage(cvSize( rc2.width, rc2.height),IPL_DEPTH_8U,3);sub_image3 = cvCreateImage(cvSize( rc3.width, rc3.height),IPL_DEPTH_8U,3);cout << "rc1.width = " << rc1.width << endl;cout << "rc2.width = " << rc2.width << endl;cout << "rc3.width = " << rc3.width << endl;cout << "sub_image1->width = " << sub_image1 -> width << endl;cout << "sub_image2->width = " << sub_image2 -> width << endl;cout << "sub_image3->width = " << sub_image3 -> width << endl;cout << img->width << endl;cout << img->height<< endl;cvDrawRect(img,cvPoint(rc1.x,rc1.y),cvPoint(rc1.x+rc1.width,rc1.y + rc1.height),cvScalar(255,255,0),8,0);cvDrawRect(img,cvPoint(rc2.x,rc2.y),cvPoint(rc2.x+rc2.width,rc2.y + rc2.height),cvScalar(255,0,255),8,0);cvDrawRect(img,cvPoint(rc3.x,rc3.y),cvPoint(rc3.x+rc3.width,rc3.y + rc3.height),cvScalar(0,255,255),8,0);cvSetImageROI(img,rc1);cvCopy(img,sub_image1);cvSetImageROI(img,rc2);cvCopy(img,sub_image2);cvSetImageROI(img,rc3);cvCopy(img,sub_image3);cvResetImageROI(img);cvNamedWindow("src",0);cvShowImage("src",img);cvNamedWindow("sub1",0);cvShowImage("sub1",sub_image1);cvNamedWindow("sub2",0);cvShowImage("sub2",sub_image2);cvNamedWindow("sub3",0);cvShowImage("sub3",sub_image3);cvWaitKey(0);system("pause");return 0;}

在之前的项目中遇到过将图像三等分的问题，因此，可以通过设置ROI的方法将图像三等分，以上为将图像三等分的代码。在等分图像的时候，一定要记住：

CvRect 结构体的参数：x ： CvRect 的左上角横坐标，y：CvRect的右上角纵坐标；

width：CvRect的宽度，hight：CvRect的高度；

这是与CRect等普通结构体不同的地方，CvRect的左下角坐标为(rect.x+rect.width,rect.y + rect.height）

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