อบรมสอน Visual studio และประมวลผลภาพด้วย Open CV ตอนที่ 2

// example : averaging filter 
#include <opencv2/opencv.hpp>
using namespace cv;
int main() {
	Mat input_image = imread("lena.png", IMREAD_GRAYSCALE);
	//Mat input_image = imread("histogram.png", IMREAD_GRAYSCALE);
	Mat processed_image;

	//blur(input_image, processed_image, Size(5, 5));
	blur(input_image, processed_image, Size(4, 4));
	imshow("Input image", input_image);
	imshow("Processed Image", processed_image);
	waitKey(0);

	return 0;
}

// example : median filter
#include <opencv2/opencv.hpp>
#include <random>
using namespace cv;
using namespace std;
void salt(Mat image, int n)
{
	default_random_engine generator;
	uniform_int_distribution<int> randomRow(0, image.rows - 1);
	uniform_int_distribution<int> randomCol(0, image.cols - 1);
	int i, j;
	for (int k = 0; k < n; k++)
	{
		i = randomCol(generator);
		j = randomRow(generator);
		if (image.type() == CV_8UC1)
		{
			image.at<uchar>(j, i) = 255;
		}
		else if (image.type() == CV_8UC3)
		{
			image.at<Vec3b>(j, i)[0] = 255;
			image.at<Vec3b>(j, i)[1] = 255;
			image.at<Vec3b>(j, i)[2] = 255;
		}
	}
}
int main() {
	Mat image = imread("lena.png", IMREAD_GRAYSCALE);
	//Mat input_image = imread("histogram.png", IMREAD_GRAYSCALE);
	Mat processed_image;

	imshow("Input image", image);
	
	salt(image, 30000);
	
	imshow("Noisy Image", image);
	
	//medianBlur(image, processed_image, 3);
	
	//Mat processed_image2;
	//medianBlur(processed_image, processed_image2, 5);
	blur(image, processed_image, Size(3, 3));

	imshow("Processed Image", processed_image);
	//imshow("Processed Image2", processed_image2);
	waitKey(0);

	return 0;
}