OpenCV学习(九)之Mat的基本操作_1

实验环境：VS2010 + OpenCV2.4.9.0

参考手册：The OpenCV Tutorials, Release 2.4.9.0

Mat：OpenCV中图像的基本容器，自OpenCV2.0之后的新功能，正在逐渐代替IplImage和CvMat。相比于IplImage和CvMat，Mat型侧重于计算，数学性较高，OpenCV对Mat类型的计算也进行了优化。而CvMat和IplImage类型更侧重于“图像”，OpenCV对其中的图像操作（缩放、单通道提取、图像阈值操作等）进行了优化。在OpenCV2.0之前，OpenCV是完全用C实现的，但是，IplImage类型与CvMat类型的关系类似于面向对象中的继承关系。实际上，CvMat之上还有一个更抽象的基类----CvArr，这在源代码中会常见。根据参考手册看来，Mat类表示一个 n 维的密集数值单通道或多通道数组。它可以用于存储实数或复数值的向量和矩阵、灰度或彩色图像、体素、向量场、点云、张量、直方图 （尽管较高维的直方图存储在SparseMat可能更好）。大概介绍至此，下面学习一些最基本用法：都以main函数的形式列出，头文件略。

1、Mat矩阵的建立

int main(int argc,char** argv)
{
	Mat M(2,2,CV_8UC3,Scalar(0,0,255));
	//Mat M;
	//M.create(4,4,CV_8UC2);
	cout << "M = " << endl <<" " << M << endl << endl;
	system("pause");
	return 0;
}

2、几类基本矩阵的创建

//Define some matrices
int main(int argc,char** argv)
{
	Mat E = Mat::eye(4,4,CV_64F);
	cout << "E = " << endl <<" " << E<< endl << endl;

	Mat ON  = Mat::ones(4,4,CV_32F);
	cout << "ON = " << endl <<" " << ON << endl << endl;

	Mat Z = Mat::zeros(3,3,CV_8UC1);
	cout << "Z = " << endl << " " << Z << endl << endl;
	system("pause");
	return 0;
}

3、小矩阵的创建和矩阵的复制/克隆

//For small matrices,may use comma separated initializers
int main(int argc,char** argv)
{
	Mat C = (Mat_(3,3)<<0,-1,0,-1,5,-1,0,-1,0);
	cout << "C = " << endl <<" " << C<< endl << endl;

	//Create a new header for an existing Mat object and clone() or copyTo() it
	Mat rowClone = C.row(1).clone();
	cout << "rowClone = " << endl <<" " << rowClone << endl << endl;

	Mat rowCopy;
	C.row(1).copyTo(rowCopy);
	cout << "rowCopy = " << endl <<" " << rowCopy << endl << endl;
	
	system("pause");
	return 0;
}

4、用随机函数生成矩阵的值，需要设置矩阵的最大最小值

//random function
int main(int argc,char** argv)
{
	Mat R = Mat(3,2,CV_8UC3);
	randu(R,Scalar::all(0),Scalar::all(255));
	cout << "R = " << endl <<" " << R << endl << endl;
	system("pause");
	return 0;
}

5、C++容器和Mat

int main(int argc,char** argv)
{
	//2D Point
	Point2f P(5,1);
	cout << "Point (2D) = " << P << endl << endl;

	//3D Point
	Point3f P3f(2,6,7);
	cout << "Point (3D) = " << P3f << endl << endl;

	//std::vector via cv::Mat
	vector v;
	v.push_back((float)CV_PI);
	v.push_back(2);
	v.push_back(3.01f);
	cout << "Vector of float via Mat = " << Mat(v) << endl << endl;

	//std::vector of points
	vector vPoints(20);
	for(size_t i = 0;i < vPoints.size();i++)
		vPoints[i] = Point2f((float)(i*5),(float)(i % 7));
	cout << "A vector of 2D Points = " << vPoints << endl << endl;
	system("pause");
	return 0;
}