Kernel的构造与高斯核的构造

通过阅读资料Mat构造初始化来构造Kernel。

通过实验我选用了两种方式，资料中的5（2）、7并稍加修正。

	/// Kernel构造一
	Mat Kernel = (Mat_<double>(3,3)<<1/9.0,1/9.0,1/9.0,1/9.0,1/9.0,1/9.0,1/9.0,1/9.0,1/9.0);
	/// Kernel构造二
	double m[3][3] = {{1/9.0,1/9.0,1/9.0},{1/9.0,1/9.0,1/9.0},{1/9.0,1/9.0,1/9.0}};
	Mat Kernel = Mat(3, 3, CV_64FC1, m);

另外根据书本所提出的高斯核的构造方法构造了简单高斯核。

	/// 产生高斯核《数字图像处理与机器处理》P152，式5-7
	Mat GaussinaKenel;
	GaussinaKenel.create(3 , 3, CV_64FC1);
	double sigma = 0.8;//3*3模板选择0.8，更大的模板可适当增加sigma
	for (int i = 0; i < 3; ++i)
	{
		for (int j = 0; j < 3; ++j)
		{
			GaussinaKenel.at<double>(i,j) = exp(-(i*i + j*j)/2/sigma/sigma)/(2*CV_PI*sigma*sigma);
		}
	}
	/// 输出该高斯核
	for (int i = 0; i < 3; ++i)
	{
		for (int j = 0; j < 3; ++j)
		{
			double a = GaussinaKenel.at<double>(i,j);
			if((j+1)%3)
				cout << a <<" ";
			else 
				cout << a << endl;				
		}
	}