opencv用拉普拉斯算子做銳化

// opencv9_sharpening.cpp : 此文件包含 "main" 函數。程序執行將在此處開始並結束。
//

#include <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

using namespace cv;
using namespace std;

//debug下在lib文件的名稱後加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)
		{   //判斷是一個通道
			image.at<uchar>(j, i) = 255;
		}
		else {
			image.at<cv::Vec3b>(j, i)[0] = 255;
			image.at<cv::Vec3b>(j, i)[1] = 255;
			image.at<cv::Vec3b>(j, i)[2] = 255;
		}
	}
}

int main()
{
	Mat src = imread("../res/lena.jpg");	//一個點代表省略當前文件夾路徑，兩個點則代表回到上一個文件夾路徑

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


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

	Mat dst;
	/*blur(src, dst, Size(3, 3));
	imshow("均值濾波", dst);*/
	
	/*GaussianBlur( src, dst, Size(3, 3), 0, 0, BORDER_DEFAULT );
	imshow("【高斯降噪效果圖】", dst);*/
	
	Mat imgEnhance;
	Mat kernel = (Mat_<float>(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);	//拉普拉斯算子做圖像銳化
	convertScaleAbs(dst, laplace);
	imshow("Laplacian", laplace);

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

	waitKey(0);
	return 0;
}