iplimage

　　本文基于VS2010平台，利用MFC搭建Opencv 2.4.8图像显示的界面。下面两张图分别是图片获取的演示和边缘检测后的图像显示。 　 下面是详细流程： 一.搭建MFC对话框 　　其中ReadImage是打开图片的按钮，EdgeDetect是边缘检测的按钮，Close按钮用于关闭界面；左边用picture_Control控件显示图片，其ID号重命名为IDC_ShowImg. 二.MFC与Opencv结合 其实，我们用MFC，主要是用来显示Opencv图形处理后生成的图像，所以图像显示部分用MFC的画笔来完成。那么，点击读取原图的按钮，直接显示原图；点击边缘检测的按钮，则是利用Opencv的边缘检测函数处理原图后，再利用MFC的图像显示函数读取出来。 0）在编写图像处理的函数前需要定义和初始化一些变量 <1>在***.h文件里添加宏定义 1 #define IMAGE_HEIGHT 450 2 #define IMAGE_WIDTH 450 3 #define IMAGE_CHANNELS 3 <2>在***Dlg.h定义变量 1 IplImage* TheImage;//代码内部图像变量的指针 <3>在 ***Dlg.cpp的OnInitDialog()函数里初始化变量 1 CvSize ImgSize; 2 ImgSize.height = IMAGE_HEIGHT; 3

I am trying to rotate an image in OpenCV. I've used this code that I found here on Stack Overflow: Mat source(img); Point2f src_center(source.cols/2.0, source.rows/2.0); Mat rot_mat = getRotationMatrix2D(src_center, 40.0, 1.0); Mat dst; warpAffine(source, dst, rot_mat, source.size()); Once I have my dst Mat variable type filled up I would like to put it back to an IplImage variable type, any idea about how to do this? In the new OpenCV 2.0 C++ interface it's not really necessary to change from back and forth between Mat and IplImage , but if you want to you can use the IplImage operator:

I searched to convert an IplImage* to Mat, but all answers were about the conversion to cvMat. How, can I do it? and what is the difference between Mat and cvMat? Thanks in advance here is a good solution Mat(const IplImage* img, bool copyData=false); For the records: taking a look at core/src/matrix.cpp it seems that, indeed, the constructor cv::Mat(IplImage*) has disappeared. But I found this alternative: IplImage * ipl = ...; cv::Mat m = cv::cvarrToMat(ipl); // default additional arguments: don't copy data. The recommended way is the cv::cvarrToMat function cv::Mat - is base data structure

一、读取图像 1、利用Mat数据结构读取和显示图片 #include"cv.h" #include "highgui.h" #include<iostream> using namespace std; using namespace cv; int _tmain(int argc, _TCHAR* argv[]) { Mat img=imread("./ImageData/sf1.png");//图片的相对路径 namedWindow("new"); imshow("new",image); return 0; } 2、利用IplImage指针读取并显示图片 IplImage* image=cvLoadImage("./ImageData/Im_49.png"); cvNamedWindow("image",1); cvShowImage("image",image); 　　 二、访问图像中像元的光谱值 按照图像类型可以将图像分为单通道图像(灰度图像)和多通道图像（RGB） 1、通过指针直接访问像元的灰度值 a、 IplImage 访问单通道图像 1 //读取rgb彩色图像 2 IplImage* imgTest=cvLoadImage("./ImageData/sf1.jpg"); 3 4 5 uchar tcout; 6 7 //创建同样大小的三个单通道图像 8