中值滤波 Qt代码 内含OpenCV类

#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(){    double duration;    Mat src = imread("salt.bmp",0);    Mat src_border(src.rows+2, src.cols+2, CV_8UC1, Scalar(0));    Mat dst = imread("salt.bmp",0);    uchar array[9] = {0};duration = static_cast<double>(getTickCount());    for ( int i = 0; i < src.rows; i ++ )//边界扩充    {        uchar* src_ptr = src.ptr<uchar>(i);        uchar* src_border_ptr = src_border.ptr<uchar>(i+1);        for ( int j = 0; j < src.cols; j ++ )        {            src_border_ptr[j+1] = src_ptr[j];        }    }    for ( int i = 1; i < src_border.rows-1; i ++ )    {        uchar* src_border_previous = src_border.ptr<uchar>(i-1);        uchar* src_border_current = src_border.ptr<uchar>(i);        uchar* src_border_next = src_border.ptr<uchar>(i+1);        uchar* dst_ptr = dst.ptr<uchar>(i-1);        for ( int j = 1; j < src_border.cols-1; j ++ )        {            if ( src_border_current[j] == 255 )            {                count ++;                array[0] = src_border_previous[j-1];                array[1] = src_border_previous[j];                array[2] = src_border_previous[j+1];                array[3] = src_border_current[j-1];                array[4] = src_border_current[j];                array[5] = src_border_current[j+1];                array[6] = src_border_next[j-1];                array[7] = src_border_next[j];                array[8] = src_border_next[j+1];                uchar temp = 0;                for ( int n = 0; n < 8; n ++)//冒泡排序                    for ( int m = 0; m < 8-n; m ++ )                    {                        if ( array[m] > array[m+1] )                        {                            temp = array[m];                            array[m] = array[m+1];                            array[m+1] = temp;                        }                    }                dst_ptr[j-1] = array[4];            }        }    }duration = static_cast<double>(getTickCount()) - duration;duration /= getTickFrequency();cout << duration << endl;    namedWindow("src", 0);    imshow("src", src);    namedWindow("dst", 0);    imshow("dst", dst);    waitKey(0);    return 0;}

其中输入图像为加入椒盐噪声的 bmp 图片