// 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 <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
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<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_<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); //拉普拉斯算子做图像锐化
convertScaleAbs(dst, laplace);
imshow("Laplacian", laplace);
Mat sub;
subtract(laplace,imgEnhance, sub);
imshow("sub",sub);
waitKey(0);
return 0;
}
