[英]Am I doing the mean filter correct? What do i need to change to make it work?
問題是我不知道在使用均值濾波器時如何正確地完成數學運算。 在所有9個內核中權重值為1的3x3內核。 我得到了一些使用總和部分的幫助,但是我不知道它是否正確運行,我當然無法構建。
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat gray_image, convolued_image;
gray_image = imread( "C:/1.jpg", CV_LOAD_IMAGE_GRAYSCALE); // Read the file
convolued_image = gray_image;
if(!gray_image.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
}
namedWindow( "RGB Input", CV_WINDOW_AUTOSIZE );
imshow( "RGB Input", gray_image );
Mat meanImg;
gray_image.copyTo(meanImg);
namedWindow( "meanImg", CV_WINDOW_AUTOSIZE );
imshow( "meanImg", meanImg );
waitKey(0);
for (int y = 0; y < gray_image.rows; y++)
{
for (int x = 0; x < gray_image.cols; y++)
{
int intesity = gray_image.at<uchar>(y,x);
int sum = gray_image.at<uchar>(y+1,x+1);
sum = gray_image.at<uchar>(y+1,x);
sum = gray_image.at<uchar>(y+1,x-1);
sum = gray_image.at<uchar>(y,x-1);
sum = gray_image.at<uchar>(y,x+1);
sum = gray_image.at<uchar>(y-1,x-1);
sum = gray_image.at<uchar>(y+1,x);
sum = gray_image.at<uchar>(y+1,x+1);
int mean = sum/9;
meanImg.at<uchar>(y,x) = mean;
}
}
return 0;
}
sum = gray_image.at<uchar>(y+1,x);
sum = gray_image.at<uchar>(y+1,x-1);
sum = gray_image.at<uchar>(y,x-1);
您的變量名為sum
,但是您實際上並未在此處添加任何內容。
您還可以通過讀取圖像邊界之外的內容來開始循環。
構建好之后,您將遇到以下錯誤:
您在其中遺漏了一個角色
sum = gray_image.at<uchar>(y+1,x);
這些行用新值替換sum
的值。
要將它們實際添加在一起,請執行
sum += gray_image.at<uchar>(y+1,x);
您還要在圖像邊界之外建立索引-您需要正確處理x
或y
為0或它們各自的最大值的情況。
在內部循環中,您說y++
,而應該說x++
。
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