opencv用拉普拉斯算子做锐化

// opencv9_sharpening.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

#include 
#include 
#include 

using namespace cv;
using namespace std;

//debug下在lib文件的名称后加d，release下不加d。


void salt(Mat& image, int n)
{
	for (int k = 0; k < n; k++)
	{
		int i = rand() % image.cols;
		int j = rand() % image.rows;

		if (image.channels() == 1)
		{   //判断是一个通道
			image.at(j, i) = 255;
		}
		else {
			image.at(j, i)[0] = 255;
			image.at(j, i)[1] = 255;
			image.at(j, i)[2] = 255;
		}
	}
}

int main()
{
	Mat src = imread("../res/lena.jpg");	//一个点代表省略当前文件夹路径，两个点则代表回到上一个文件夹路径

	if (src.empty())
	{
		std::cout << "image read is null" << std::endl;
		return -10;
	}


	/*namedWindow("【原图】", WINDOW_AUTOSIZE);*/
	imshow("【原图】", src);

	Mat dst;
	/*blur(src, dst, Size(3, 3));
	imshow("均值滤波", dst);*/
	
	/*GaussianBlur( src, dst, Size(3, 3), 0, 0, BORDER_DEFAULT );
	imshow("【高斯降噪效果图】", dst);*/
	
	Mat imgEnhance;
	Mat kernel = (Mat_(3, 3) << 0, 1, 0, 1, -4, 1, 0, 1, 0);
	filter2D(src, imgEnhance, CV_8UC3, kernel);
	imshow("filter2D", imgEnhance);

	Mat laplace;
	Laplacian(src, dst, CV_16S, 1, 1, 0, BORDER_DEFAULT);	//拉普拉斯算子做图像锐化
	convertScaleAbs(dst, laplace);
	imshow("Laplacian", laplace);

	Mat sub;
	subtract(laplace,imgEnhance, sub);
	imshow("sub",sub);

	waitKey(0);
	return 0;
}