如何在我的代码中将iplimage转换为cv :: mat？ [英] How to convert iplimage to cv::mat in my code?

问题描述

我试图将Iplimage结构转换为cv :: Mat类。但是我在修复的新代码中出现了错误的错误。



所以，我只想比较一下你们将要解决的问题。你能用cv :: Mat类转换我的代码吗？

I was trying to convert Iplimage structure to cv::Mat class. But I got something wrong error in new code that I fixed.

So, I just want to compare what you guys will fix it with mine. Can you convert my code by using cv::Mat class?

#include<opencv2/core/core_c.h>
#include<opencv2/highgui/highgui_c.h>
#include<opencv/cv.h>
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#include<Windows.h>
#include<ctffunc.h> 
void RGB_TO_HSV(unsigned char r, unsigned char g, unsigned char b, double &h, double &s, double &v );
void HSV_TO_RGB(unsigned char h, unsigned char s, unsigned char v, double &r, double &g, double &b);
void FILTER(int H_max,int H_min,int V_max,int V_min,int S_max,int S_min);
void on_change1(int pos1);
void on_change2(int pos2);
void on_change3(int poS3);
void on_change4(int poS4);
void on_change5(int poS5);
void on_change6(int poS6);
IplImage *srcImage,*dstImage,*srcR,*srcG,*srcB,*dstR,*dstG,*dstB;
int H_max,H_min,V_max,V_min,S_max,S_min;
int main()
{   double r, g, b, h, s, v;
    int x,y;
    int pos1=0;
    int pos2=0;
    int pos3=0;
    int pos4=360;
    int pos5=255;
    int pos6=255;   
    if((srcImage=cvLoadImage("sunrise.jpg",1))==NULL)
        return -1;
    srcR=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);
    srcG=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);
    srcB=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);
    dstR=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);
    dstG=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);
    dstB=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1); 
    cvSplit(srcImage,srcB,srcG,srcR,NULL);  
    dstImage=cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,3);
    cvSetZero(dstImage);
    cvMerge(srcB,srcG,srcR,NULL,dstImage);  
    cvNamedWindow("dstImage",CV_WINDOW_AUTOSIZE);
    cvShowImage("dstImage",dstImage);   
    on_change1(pos1);
    on_change2(pos2);
    on_change3(pos3);
    on_change4(pos4);
    on_change5(pos5);
    on_change6(pos6);
    cvCreateTrackbar("H_min","dstImage",&pos1,360,on_change1);
    cvCreateTrackbar("H_max","dstImage",&pos4,360,on_change4);
    cvCreateTrackbar("S_min","dstImage",&pos2,255,on_change2);
    cvCreateTrackbar("S_max","dstImage",&pos5,255,on_change5);
    cvCreateTrackbar("V_min","dstImage",&pos3,255,on_change3);
    cvCreateTrackbar("V_max","dstImage",&pos6,255,on_change6);
    for(y=0;y<srcImage->height;y++)
        for(x=0;x<srcImage->width;x++)
        {   
            r=cvGetReal2D(srcR,y,x);
            g=cvGetReal2D(srcG,y,x);
            b=cvGetReal2D(srcB,y,x);
            cvSetReal2D(dstR,y,x,r);
            cvSetReal2D(dstG,y,x,g);
            cvSetReal2D(dstB,y,x,b);
        }   
    cvSetZero(dstImage);
    cvMerge(dstB,dstG,dstR,NULL,dstImage);
    cvShowImage("dstImage",dstImage);
    cvWaitKey(0);
    cvDestroyWindow("srcImage");
    cvDestroyWindow("dstImage");
    cvReleaseImage(&srcImage);  
    cvReleaseImage(&srcR);
    cvReleaseImage(&srcG);
    cvReleaseImage(&srcB);
    cvReleaseImage(&dstImage);
}

我的尝试：

What I have tried:

//IplImage *srcImage1,*dstImage1,*srcR1,*srcG1,*srcB1,*dstR1,*dstG1,*dstB1;
Mat srcImage,dstImage,srcR,srcG,srcB,dstR,dstG,dstB; 
 
int H_max,H_min,V_max,V_min,S_max,S_min;

int main()
{
	double r, g, b, h, s, v;
	int x,y;
	int pos1=0;
	int pos2=0;
	int pos3=0;
	int pos4=360;
	int pos5=255;
	int pos6=255;	
	 
	srcImage = imread("sunrise.jpg");
	imshow("srcImage",srcImage);
	if(srcImage.empty()){
		return -1;}
/*	 
	Mat srcR=cvarrToMat(srcR1);
	Mat srcG=cvarrToMat(srcG1);
	Mat srcB=cvarrToMat(srcB1);
	Mat dstR=cvarrToMat(dstR1);
	Mat dstG=cvarrToMat(dstG1);
	Mat dstB=cvarrToMat(dstB1);
*/	
	//srcR = srcImage.create(100,60,IPL_DEPTH_8U);
	//srcR = cvCreateImage(cvGetSize(&srcImage),IPL_DEPTH_8U,1);
	srcR = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	srcG = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	srcB = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	dstR = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	dstG = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	dstB = srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));

	cvSplit(&srcImage,&srcB,&srcG,&srcR,NULL);
	dstImage=srcImage(Rect(0,0,srcImage.size().width,srcImage.size().height));
	
	cvSetZero(&dstImage);
	cvMerge(&srcB,&srcG,&srcR,NULL,&dstImage);	
	cvNamedWindow("dstImage",CV_WINDOW_AUTOSIZE);
	imshow("dstImage",dstImage);
 
	on_change1(pos1);
	on_change2(pos2);
	on_change3(pos3);
	on_change4(pos4);
	on_change5(pos5);
	on_change6(pos6);
	cvCreateTrackbar("H_min","dstImage",&pos1,360,on_change1);
	cvCreateTrackbar("H_max","dstImage",&pos4,360,on_change4);
	cvCreateTrackbar("S_min","dstImage",&pos2,255,on_change2);
	cvCreateTrackbar("S_max","dstImage",&pos5,255,on_change5);
	cvCreateTrackbar("V_min","dstImage",&pos3,255,on_change3);
	cvCreateTrackbar("V_max","dstImage",&pos6,255,on_change6);
	for(y=0;y<srcImage.size().height;y++)
	for(x=0;x<srcimage.size().width;x++)>
	{	
	r=cvGetReal2D(&srcR,y,x);
	g=cvGetReal2D(&srcG,y,x);
	b=cvGetReal2D(&srcB,y,x);
	cvSetReal2D(&dstR,y,x,r);
	cvSetReal2D(&dstG,y,x,g);
	cvSetReal2D(&dstB,y,x,b);
	}	
	cvSetZero(&dstImage);
	cvMerge(&dstB,&dstG,&dstR,NULL,&dstImage);
	imshow("dstImage",dstImage);
	cvWaitKey(0);

	cvDestroyWindow("srcImage");
	cvDestroyWindow("dstImage");
	/* //cv::destroyAllWindows();
	
	*/cvReleaseImage(&&srcImage);	
	cvReleaseImage(&srcR);
	cvReleaseImage(&srcG);
	cvReleaseImage(&srcB);
	cvReleaseImage(&dstImage);
srcImage.release();
	srcR.release();
	srcG.release();
	srcB.release();
	dstImage.release();
	
}

推荐答案

首先要做的是学习如何有效地使用C ++。你的代码中有很多guff是多余的 - 摆脱它（即停止尝试手动管理内存，根据需要声明变量并将全局变量存入）并且你的问题将更容易被隔离。



下一步是从小做起。图像是否正确加载和显示？如果是这样，你可以保存它而不处理它。如果你可以，那么你的处理中的某些东西可能会使图像变得狡猾。如果没有，那么你就会遇到更深层次的问题。依此类推，直到你知道你必须在最小处做什么才能导致错误。然后检查OpenCV文档，或者，如果最坏的情况发生，请阅读源代码以查看您做错了什么。

First thing to do is learn how to use C++ effectively. There's a lot of guff in your code that is redundant - get rid of that (i.e. stop trying to manage memory manually, declare variables as you need 'em and bin the globals) and your problem will be easier to isolate.

The next thing is to start small. Does the image load and display properly? If so does can you save it without processing it. If you can then maybe something in your processing is knackering the image. If not then you've got a deeper problem. And so on until you know what you have to do at a minimum to cause the error. Then check the OpenCV docs or, if the worst comes to the worst, read the source code to see what you're doing wrong.

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