OpenCV图像矩阵Mat的基本操作

//vs2012+OpenCV3.0
#include "stdafx.h"
#include "iostream"

#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;

int _tmain(int argc, _TCHAR* argv[])
{
	Mat frame=imread("s2.bmp");
	imshow("source",frame);

	//图像矩阵的定义与赋值-------------------------------
	//Mat frame2(14,3,CV_8UC3);

    //Mat frame2=Mat::ones(4,2,CV_32F);
	//Mat frame2=Mat::eye(4,4,CV_32F);
	Mat frame2=Mat::zeros(4,3,CV_8UC3); 
	//randu(frame2,Scalar::all(0),Scalar::all(10));


	//图像矩阵单个元素访问------------------------------
	frame2.at<Vec3b>(1,1)[0]=5;
	frame2.at<Vec3b>(1,1)[1]=5;
	frame2.at<Vec3b>(1,1)[2]=5;
	cout<<frame.type()<<endl;
	
   

	cout<<frame2<<endl;
	cout<<frame2.rows<<endl;
	cout<<frame2.cols<<endl;
	//

	//图像缩放--------------------------------------------------
	//resize(frame,frame2,Size(frame.cols*8,frame.rows*8));
	
	Mat gray,gray2;
	cvtColor(frame,gray,CV_RGB2GRAY);

	//图像滤波处理-----------------------------------------------
	//medianBlur(gray,gray,7);
	//blur(gray,gray,Size(3,3));
        //GaussianBlur(gray,gray,Size(3,3),0,0);
	bilateralFilter(gray,gray2,10,10,10);
	
	imshow("bilateral",gray2);

	waitKey(0);
	return 0;
}


猜你喜欢

转载自blog.csdn.net/sichuanpb/article/details/78200115