OpenCV实现双边滤波算法

#include <opencv2\opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main()
{
 //读取两张含有人脸的图像
 Mat img1 = imread("face1.png", IMREAD_ANYCOLOR);
 
 if (img1.empty())
 {
  cout << "请确认图像文件名称是否正确" << endl;
  return -1;
 }
 Mat result1, result2, result3, result4;
 //验证不同滤波器直径的滤波效果
 bilateralFilter(img1, result1, 9, 50, 25 / 2);
 bilateralFilter(img1, result2, 25, 50, 25 / 2);
 //验证不同标准差值的滤波效果
 bilateralFilter(img1, result3, 9, 9, 9);
 bilateralFilter(img1, result4, 9, 200, 200);
 //显示原图
 imshow("img1", img1);
 //不同直径滤波结果
 imshow("result1", result1);
 imshow("result2", result2);
 //不同标准差值滤波结果
 imshow("result3 ", result3);
 imshow("result4", result4);
 waitKey(0);
 return 0;
}

import cv2

img = cv2.imread('666.jpg')
# -------------------双边滤波------------------
img_bilater = cv2.bilateralFilter(img, 9, 75, 75)
# ------------------可视化结果-----------------
cv2.imshow('origion_pic', img)
cv2.imshow('filtered_pic', img_bilater)
cv2.waitKey(0)