《学习opencv》笔记——矩阵和图像操作——cvSetIdentity,cvSolve,cvSplit,cvSub,cvSubS and cvSubRS

矩阵和图像的操作

(1)cvSetIdentity函数

其结构

void cvSetIdentity(//将矩阵行与列相等的元素置为1。其余元素置为0
	CvArr* arr//目标矩阵
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;
int main() 
{ 

	double a[3][3] = 
	{    
		{1,2,3},
		{4,5,6},
		{7,8,9}
	};

	CvMat va = cvMat(3,3, CV_64FC1,a);

	cout<<"目标矩阵："<<endl;

	for(int i=0;i<3;i++)
	{
		for(int j=0;j<3;j++)
			printf("%f\t",cvmGet(&va,i,j));
		cout << endl;
	}


	cvSetIdentity(&va);

	cout<<"结果矩阵："<<endl;

	for(int i=0;i<3;i++)
	{
		for(int j=0;j<3;j++)
			printf("%f\t",cvmGet(&va,i,j));
		cout << endl;
	}

	getchar();
	return 0;

}

(2)cvSolve函数

其结构

int cvSolve(//求解线性方程组解 src*dst = src2
	const CvArr* src1,//系数矩阵
	const CvArr* src2,//常数矩阵
	CvArr* dst,//解矩阵
	int method = CV_LU//用法
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;

int main() 
{ 
	cout<< "计算A*X = B中的解X：" <<endl;
	double a[3][3] = 
	{    
		{1,0,0},
		{0,2,0},
		{0,0,2}
	};

	CvMat va = cvMat(3,3,CV_64FC1,a);

	cout<<"A矩阵："<<endl;

	for(int i=0;i<3;i++)
	{
		for(int j=0;j<3;j++)
			printf("%f\t",cvmGet(&va,i,j));
		cout << endl;
	}

	double b[3]={1,2,2};

	CvMat vb = cvMat(3,1,CV_64FC1,b);

	cout<<"B矩阵："<<endl;

	for(int i=0;i<3;i++)
	{
		printf("%f\t",cvmGet(&vb,i,0));
		cout << endl;
	}

	double c[3]={0,0,0};

	CvMat vc = cvMat(3,1,CV_64FC1,c);

	cvSolve(&va,&vb,&vc);

	cout<<"解为："<<endl;

	for(int i=0;i<3;i++)
	{
			printf("%f\t",cvmGet(&vc,i,0));
		cout << endl;
	}

	getchar();
	return 0;
}

(3)cvSplit函数

其结构

void cvSplit(//分解多通道图像为各个单通道
	const CvArr* src,//目标图像
	CvArr* dst0,//单通道图像1
	CvArr* dst1,//单通道图像2
	CvArr* dst2,//单通道图像3
	CvArr* dst3//单通道图像4
);

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

int main() 
{ 
	IplImage *src1,*dst1,*dst2,*dst3,*dst4;
	src1=cvLoadImage("3.jpg",1);
	dst1 = cvCreateImage(cvSize(src1->width, src1->height), IPL_DEPTH_8U, 1);
	dst2 = cvCreateImage(cvSize(src1->width, src1->height), IPL_DEPTH_8U, 1);
	dst3 = cvCreateImage(cvSize(src1->width, src1->height), IPL_DEPTH_8U, 1);

	cvSplit(src1, dst1, dst2, dst3, 0);

	cvShowImage("1",src1);
	cvShowImage("2",dst1);
	cvShowImage("3",dst2);
	cvShowImage("4",dst3);

    cvWaitKey();
	return 0;
}

(4)cvSub函数

其结构

void cvSub(//两个矩阵做减法
	const CvArr* src1,//被减矩阵
	const CvArr* src2,//减矩阵
	CvArr* dst,//结果矩阵
	const CvArr* mask = NULL//矩阵开关
);

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

int main() 
{ 
	IplImage *src1,*src2,*src3;

	src1 = cvLoadImage("3.jpg");
	src2 = cvLoadImage("1.jpg");
	src3 = cvLoadImage("7.jpg");

	cvSub(src1,src2,src3);

	cvShowImage("1",src1);
	cvShowImage("2",src2);
	cvShowImage("3",src3);

    cvWaitKey();
	return 0;
}

(5)cvSubS函数

其结构

void cvSubS(//矩阵和值做减法
	const CvArr* src,//被减矩阵
	CvScalar value,//减数值
	CvArr* dst,//结果矩阵
	const CvArr* mask = NULL//矩阵“开关”
);	

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

int main() 
{ 
		IplImage *src1, *src2;
		src1 = cvLoadImage("1.jpg");
		src2 = cvLoadImage("7.jpg");

		CvScalar cs;
		cs.val[0] = 0;
		cs.val[1] = 255;
		cs.val[2] = 0;
		cs.val[3] = 0;

		cvSubS(src1,cs,src2);

		cvShowImage( "測试1", src1);
		cvShowImage( "測试2", src2);
		cvWaitKey();
		return 0;
}

(6)cvSubRS函数

其结构

void cvSubRS(//给定值减去矩阵
	const CvArr* src,//减矩阵
	CvScalar value,//被减数值
	CvArr* dst,//结果矩阵
	const CvArr* mask = NULL//矩阵“开关”
);	

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

int main() 
{ 
		IplImage *src1, *src2;
		src1 = cvLoadImage("1.jpg");
		src2 = cvLoadImage("7.jpg");

		CvScalar cs;
		cs.val[0] = 0;
		cs.val[1] = 255;
		cs.val[2] = 0;
		cs.val[3] = 0;

		cvSubRS(src1,cs,src2);

		cvShowImage( "測试1", src1);
		cvShowImage( "測试2", src2);
		cvWaitKey();
		return 0;
}

to be continued