OpenCV--图像滤波-方框-均值-高斯-中值-双边

本文主要描述了利用OpenCV的库函数实现滤波的过程

可分为以下两大类：

一、线性滤波

1、方框滤波 boxFilter()

2、均值滤波blur()

3、高斯滤波GaussianBlur()

二、非线性滤波

1、中值滤波medianBlur()

2、双边滤波bilateralFilter()

实验结果如下图所示：

主程序如下所示：

#include <opencv2\core\core.hpp>#include <opencv2\highgui\highgui.hpp>#include <opencv2\imgproc\imgproc.hpp>#include <iostream>using namespace cv;using namespace std;//声名全局变量Mat g_scrImage,g_dstImage1,g_dstImage2,g_dstImage3,g_dstImage4,g_dstImage5;//滤波核大小的初始值int g_nBoxFilterValue=6;//方块滤波的内核值int g_nMeanBlurValue=10;//均值滤波内核值int g_nGaussianBlurValue=6;//高斯滤波内核值int g_nMedianBlurValue=10;//中值滤波参数int g_nBilateralFilterValue=10;//双边滤波参数//声名滚动条回调函数static void on_BoxFilter(int,void*);//方框static void on_MeanBlur(int,void*);//均值static void on_GaussianBlur(int,void*);//高斯static void on_MedianBlur(int,void*);//中值static void on_BilateralFilter(int,void*);//双边int main(){g_scrImage=imread("1.jpg");if (!g_scrImage.data){printf("载入失败");return -1;}g_dstImage1=g_scrImage.clone();g_dstImage2=g_scrImage.clone();g_dstImage3=g_scrImage.clone();g_dstImage4=g_scrImage.clone();g_dstImage5=g_scrImage.clone();//显示原图namedWindow("0原图");imshow("0原图",g_scrImage);//方框滤波namedWindow("1方框滤波");//创建窗口//创建滚动条createTrackbar("内核值","1方框滤波",&g_nBoxFilterValue,50,on_BoxFilter);on_BoxFilter(g_nBoxFilterValue,0);//imshow("1方框滤波",g_dstImage1);//均值滤波namedWindow("2均值滤波");//创建窗口createTrackbar("内核值","2均值滤波",&g_nMeanBlurValue,50,on_MeanBlur);on_MeanBlur(g_nMeanBlurValue,0);//高斯滤波namedWindow("3高斯滤波");//创建窗口createTrackbar("内核值","3高斯滤波",&g_nGaussianBlurValue,50,on_GaussianBlur);on_GaussianBlur(g_nGaussianBlurValue,0);//中值滤波namedWindow("4中值滤波");//创建窗口createTrackbar("内核值","4中值滤波",&g_nMedianBlurValue,50,on_MedianBlur);on_MedianBlur(g_nMedianBlurValue,0);//双边滤波namedWindow("5双边滤波");//创建窗口createTrackbar("内核值","5双边滤波",&g_nBilateralFilterValue,50,on_BilateralFilter);on_BilateralFilter(g_nBilateralFilterValue,0);waitKey();return 0;}//回调函数//方框回调函数static void on_BoxFilter(int,void*){//方框滤波操作boxFilter(g_scrImage,g_dstImage1,-1,Size(g_nBoxFilterValue+1,g_nBoxFilterValue+1));//尺寸加1 表示核的最小值为1//显示imshow("1方框滤波",g_dstImage1);}//均值回调函数static void on_MeanBlur(int,void*){blur(g_scrImage,g_dstImage2,Size(g_nMeanBlurValue+1,g_nMeanBlurValue+1),Point(-1,-1));imshow("2均值滤波",g_dstImage2);}//高斯滤波回调函数static void on_GaussianBlur(int,void*){GaussianBlur(g_scrImage,g_dstImage3,Size(g_nGaussianBlurValue*2+1,g_nGaussianBlurValue*2+1),0,0);//乘2加1 表示核的尺寸需要时奇数imshow("3高斯滤波",g_dstImage3);}//中值滤波回调函数static void on_MedianBlur(int,void*){medianBlur(g_scrImage,g_dstImage4,g_nMedianBlurValue*2+1);imshow("4中值滤波",g_dstImage4);}//双边滤波回调函数static void on_BilateralFilter(int,void*){bilateralFilter(g_scrImage,g_dstImage5,g_nBilateralFilterValue,g_nBilateralFilterValue*2,g_nBilateralFilterValue);imshow("5双边滤波",g_dstImage5);}