OpenCV fill image noise by neighborhood pixels

The demo is a pixel value of 0 labeled as noise, the picture is a grayscale (can be modified by itself to RGB), fill the 8 neighborhood pixel mean fill, only fix the noise

#include <iostream> #include <opencv2/opencv.hpp> #include <stdio.h> using namespace std;

using namespace CV;
    int main () {char buf1[100];
    Char buf2[100];
    Vector<point2i> Neihborpos;
    Neihborpos.push_back (Point2i (-1, 0));
    Neihborpos.push_back (point2i (1, 0));
    Neihborpos.push_back (point2i (0,-1));
    Neihborpos.push_back (Point2i (0, 1));
    Neihborpos.push_back (Point2i (-1,-1));
    Neihborpos.push_back (Point2i (-1, 1));
    Neihborpos.push_back (Point2i (1,-1));
    Neihborpos.push_back (Point2i (1, 1));
    int neihbor_count=8;
    int currx=0,curry=0; for (int i=1;i<8;++i) {sprintf (buf1, "/HOME/YANGJUNFENG/WORKSPACE_LJ/WORKSPACE/CLION_PROJECT/DISP_NEW/DISP_%D.P
        Ng ", i);
        sprintf (Buf2, "/home/yangjunfeng/workspace_lj/workspace/clion_project/disp_new2/disp_%d.png", I);
        Mat Src=imread (Buf1,cv_load_image_grayscale);

        Mat DST = Mat::zeros (Src.size (), CV_8UC1);
       for (int i = 0; i < src.rows; ++i) {int bad_c_count=0;
            Vector<point2i> temp_local;
            uchar* S_data = src.ptr<uchar> (i);
            uchar* D_data = dst.ptr<uchar> (i);
                for (int j = 0; j < Src.cols; ++j) {//temp_local.push_back (Point2i (j,i));
                if (s_data[j]! = 0) d_data[j]=s_data[j];
                    else{Temp_local.push_back (Point2i (j,i));
                    bad_c_count++;
                    int pixel_sum=0;
                    int nerbor_suit=0;
                        for (int k=0;k<neihbor_count;++k) {currx=temp_local.at (bad_c_count-1). x+neihborpos.at (k). x;
                        Curry=temp_local.at (bad_c_count-1). y+neihborpos.at (k). Y; if (currx>=0&&currx<src.cols&&curry>=0&&curry<src.rows&&src.at< Uchar> (CurrY, Currx)!=0) {pixel_sum+=src.at<uchar> (CurrY, CurrX);
                        nerbor_suit++; }}//cout<< "Pixel_sum:" <<pixel_sum<<endl<< "Nerbor_suit:"
                    <<nerbor_suit<<endl;
                    float Kkk=pixel_sum/nerbor_suit;
                    cout<<kkk<<endl;
                    if (nerbor_suit!=0) d_data[j]=int (pixel_sum/nerbor_suit);
                d_data[j]=255;

    }}} imwrite (BUF2,DST);
    } std::cout << "Hello, world!" << Std::endl;
return 0; }

Original:

After correction: