《学习opencv》笔记——矩阵和图像操作——cvOr,cvOrS,cvrReduce,cvRepeat,cvScale,cvSet and cvSetZero

标签：计算机视觉   opencv   vs   学习   图像处理   

矩阵和图像的操作

其结构

void cvOr(//两个矩阵对应元素做或运行
	const CvArr* src1,//矩阵1
	const CvArr* src2,//矩阵2
	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(int argc, char** argv)
{
	IplImage *src1, *src2,*src3;
	src1 = cvLoadImage("1.jpg");
	src2 = cvLoadImage("9.jpg");
	src3 = cvLoadImage("7.jpg");

	cvOr(src1,src2,src3);

	cvShowImage( "测试1", src1);
	cvShowImage( "测试2", src2);
	cvShowImage( "测试3", src3);
	cvWaitKey();
	return 0;
}

(2)cvOrS函数

其结构

void cvOr(//矩阵与给定标量做或运算
	const CvArr* src1,//矩阵1
	CvScalar value,//给定变量
	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(int argc, char** argv)
{
	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;

	cvOrS(src1,cs,src2);

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

(3)cvReduce函数

其结构

CvSize CvReduce(//完成由op指定的约简
	const CvArr* src,//目标矩阵
	CvArr* dst,//结果矩阵
	int dim = -1,//因子系数,//1合并成行，0合并成列，-1转化成对应的dis
	int op = CV_REDUCE_SUM//指定约简法则
);

实例代码

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


int main() 
{ 
	double a[5][5] = 
	{    
		{1,0,0,0,6},
		{0,2,0,7,0},
		{0,0,3,0,0},
		{0,9,0,4,0},
		{8,0,0,0,5}
	};

	double b[5] = {0};
	
	CvMat va=cvMat(5,5, CV_64FC1,a);

	CvMat vb=cvMat(5,1, CV_64FC1,b);

	cout<<"目标矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f\t",cvmGet(&va,i,j));
		cout << endl;
	}

	cvReduce(&va,&vb,1,CV_REDUCE_SUM);

	cout << "结果向量"<<endl;

	for(int i=0;i<5;i++)
	{
			printf("%f\t",cvmGet(&vb,i,0));
		cout << endl;
	}

	getchar();
	return 0;
}

(4)cvRepeat函数

其结构

void cvRepeat(//复制图像
	const CvArr* src,//目标矩阵
	CvArr* dst//结果矩阵
);

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


int main() 
{ 
	IplImage *src1, *src2,*src3;
	src1 = cvLoadImage("1.jpg");
	src2 = cvLoadImage("7.jpg");

	cvRepeat(src1,src2);

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

(5)cvScale函数

其结构

void cvScale(//进行线性变换转换
	const CvArr* src,//输入矩阵
	CvArr* dst,//输出矩阵
	double scale,//比例因子
	double shift = 0.0//放缩比例
);

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


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

	IplImage* src2 = cvCloneImage(src1);  

	IplImage* dst = cvCreateImage(cvGetSize(src1),IPL_DEPTH_64F,src1->nChannels);  

	double max_Val,min_Val;  
	cvScale(src1,dst,1.0,0.0);  
	cvAdd(dst,dst,dst);  

	cvMinMaxLoc(dst, &min_Val, &max_Val, NULL, NULL, NULL);  

	cvScale(dst,src2,1.0,0.0);  

	cvScale(dst, dst, 1.0/(max_Val-min_Val), 1.0*(-min_Val)/(max_Val-min_Val));

	cvMinMaxLoc(dst, &min_Val, &max_Val, NULL, NULL, NULL);  

	cvShowImage("测试1",src1);  

	cvShowImage("测试2",src2);  

	cvShowImage("结果",dst);  

	cvWaitKey(-1);  
	return 0;
}

(6)cvSet函数

其结构

void cvSet(//对图像中的像素设置value
	CvArr* arr,//目标矩阵
	CvScalar value,//设置值
	const,CvArr* mask = NULL//图像开关
);

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

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

	CvScalar cs;
	cs.val[0] = 0;
	cs.val[1] = 0;
	cs.val[2] = 255;
	cs.val[3] = 0;
	
	cvSet(src1,cs);

	cvShowImage( "结果图", src1);
	cvShowImage( "原图", src2);
	cvWaitKey();
	return 0;
}

(7)cvSetZero函数

其结构

void cvSetZero(//对图像自动设置为零，相当于cvSet(0.0)
	CvArr* arr,//目标矩阵
);

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

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

	CvScalar cs;
	cs.val[0] = 0;
	cs.val[1] = 0;
	cs.val[2] = 255;
	cs.val[3] = 0;
	
	cvSetZero(src1);

	cvShowImage( "结果图", src1);
	cvShowImage( "原图", src2);
	cvWaitKey();
	return 0;
}

to be continued

《学习opencv》笔记——矩阵和图像操作——cvOr,cvOrS,cvrReduce,cvRepeat,cvScale,cvSet and cvSetZero,布布扣,bubuko.com

《学习opencv》笔记——矩阵和图像操作——cvOr,cvOrS,cvrReduce,cvRepeat,cvScale,cvSet and cvSetZero

标签：计算机视觉   opencv   vs   学习   图像处理   

原文地址：http://blog.csdn.net/zhurui_idea/article/details/28878011