opencv3/C++图像滤波实现

图像滤波在opencv中可以有多种实现形式

自定义滤波

如使用3×3的掩模：

对图像进行处理.

使用函数filter2D()实现

#include<opencv2/opencv.hpp>using namespace cv;int main(){    //函数调用filter2D功能    Mat src,dst;    src = imread("E:/image/image/daibola.jpg");    if(!src.data)    {        printf("can not load image \n");        return -1;    }    namedWindow("input", CV_WINDOW_AUTOSIZE);    imshow("input", src);    src.copyTo(dst);    Mat kernel = (Mat_<int>(3,3)<<1,1,1,1,1,-1,-1,-1,-1);    double t = (double)getTickCount();    filter2D(src, dst, src.depth(), kernel);    std::cout<<((double)getTickCount()-t)/getTickFrequency()<<std::endl;    namedWindow("output", CV_WINDOW_AUTOSIZE);    imshow("output", dst);    printf("%d",src.channels());    waitKey();    return 0;}

通过像素点操作实现

#include<opencv2/opencv.hpp>using namespace cv;int main(){    Mat src, dst;    src = imread("E:/image/image/daibola.jpg");    CV_Assert(src.depth() == CV_8U);    if(!src.data)    {        printf("can not load image \n");        return -1;    }    namedWindow("input", CV_WINDOW_AUTOSIZE);    imshow("input",src);    src.copyTo(dst);    for(int row = 1; row<(src.rows - 1); row++)    {        const uchar* previous = src.ptr<uchar>(row - 1);        const uchar* current = src.ptr<uchar>(row);        const uchar* next = src.ptr<uchar>(row + 1);        uchar* output = dst.ptr<uchar>(row);        for(int col = src.channels(); col < (src.cols - 1)*src.channels(); col++)        {            *output = saturate_cast<uchar>(1 * current[col] + previous[col] - next[col] + current[col - src.channels()] - current[col + src.channels()]);            output++;        }    }    namedWindow("output", CV_WINDOW_AUTOSIZE);    imshow("output",dst);    waitKey();    return 0;}

特定形式滤波

常用的有：
blur(src,dst,Size(5,5));均值滤波
GaussianBlur(src,dst,Size(5,5),11,11);高斯滤波
medianBlur(src,dst,5);中值滤波（应对椒盐噪声）
bilateralFilter(src,dst,2,0.5,2,4);双边滤波（保留边缘）

#include<opencv2/opencv.hpp>using namespace cv;int main(){    Mat src, dst;    src = imread("E:/image/image/daibola.jpg");    CV_Assert(src.depth() == CV_8U);    if(!src.data)    {        printf("can not load image \n");        return -1;    }    namedWindow("input", CV_WINDOW_AUTOSIZE);    imshow("input",src);    src.copyTo(dst);    //均值滤波    blur(src,dst,Size(5,5));    //中值滤波    //medianBlur(src,dst,5);    namedWindow("output", CV_WINDOW_AUTOSIZE);    imshow("output",dst);    waitKey();    return 0;}