opencv通过邻域像素填补图片噪点

缺乏、安全感 2022-06-01 08:15 183阅读 0赞

该demo为将像素值为0标注为噪点，图片为灰度图（可自行修改为RGB），填补方式为8邻域像素均值填补，只修复噪点

#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.png",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;
    }

原图：

![这里写图片描述][SouthEast]

![这里写图片描述][SouthEast 1]

修正后：  
![这里写图片描述][SouthEast 2]

![这里写图片描述][SouthEast 3]

[SouthEast]: /images/20220601/f6688188a71f420f9e99c3c8e7c26536.png
[SouthEast 1]: /images/20220601/53a3b6a5429b499ebbe64c01c851c6fc.png
[SouthEast 2]: /images/20220601/538785afa3bf47929f5cbf2d89afa093.png
[SouthEast 3]: /images/20220601/e69fa747715f4a9b95a8988a806ad823.png