opencv3-Mat对象

 

我的实践： 

#include<opencv2\opencv.hpp>
#include<iostream>
#include<math.h>
using namespace cv;
using namespace std;
int main()
{
	//加载图像
	Mat src= imread("E:\\vs2015\\opencvstudy\\2.jpg", 1);
	if (!src.data)
	{
		cout << "could not load image!" << endl;
		return -1;
	}
	//imshow("inputImage", src);

	//初始化方法1
	//Mat dst;
	//dst = Mat(src.size(), src.type());  //初始化一个Mat对象
	//dst = Scalar(127, 0, 255);
	//imshow("outputImage", dst);

	//初始化方法2
	/*Mat dst = src.clone();
	imshow("clone_outputImage", dst);*/

	//初始化方法3
	/*Mat dst;
	src.copyTo(dst);
	imshow("copyTo_outputImage", dst);*/


	//获取图像信息
	//Mat dst;
	//cvtColor(src, dst, CV_BGR2GRAY);
	//printf("input image channel:%d\n",src.channels());
	//printf("output image channel:%d", dst.channels());

	//int cols = dst.cols;
	//int rows = dst.rows;
	//cout << "cols:" <<cols<< endl;
	//cout << "rows:" << rows << endl;
	//const uchar* firstRow=dst.ptr<uchar>(0);  //定义为指针，获取第一行的第一的像素的值
	//printf("firstRow pixel:%d", *firstRow);  

	//初始化方法4
	/*Mat M(3, 3, CV_8UC3, Scalar(0, 0, 255));
	cout << "M:" <<endl<< M << endl;*/
	//Mat M(100, 100, CV_8UC3, Scalar(0, 0, 255));  //Scalar和前面的CV_8UC3的3相对应
	//imshow("Mat_初始化", M);
	//Mat M2(100, 100, CV_8UC1, Scalar(127));
	//imshow("Mat2_初始化", M2);

	//初始化方法5
	/*Mat M3;
	M3.create(src.size(), src.type());
	M3 = Scalar(0, 0, 255);
	imshow("Mat3_初始化", M3);*/

	//定义小数组
	Mat M4,dst;
	M4 =( Mat_<char>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);
	filter2D(src, dst, -1, M4);   //depth可以默认为-1，不影响
	imshow("dst", dst);

	Mat M5 = Mat::zeros(src.size(), src.type());
	Mat M6 = Mat::zeros(2,2, src.type());
	Mat M7 = Mat::eye(2, 2, src.type());
	cout << M6 << endl;
	cout << M7 << endl;


	waitKey(0);
	return 0;
}