opencv再学习之路（二）---滤波算法
1 #include"stdafx.h" 2 #include<opencv2\opencv.hpp> 3 #include<opencv2\highgui\highgui.hpp> 4 #include<iostream> 5 #include<Windows.h> 6 #include<time.h> 7 8 using namespace std; 9 using namespace cv; 10 11 // 常见数据结构使用方法 12 int main() 13 { 14 Mat sourceimage = imread("1.jpg"); 15 16 // 线性滤波：均值滤波 方框滤波 17 18 Mat image1; 19 long starttime1 = GetTickCount(); 20 blur(sourceimage,image1,Size(5,5)); 21 namedWindow("均值滤波",WINDOW_NORMAL); 22 imshow("均值滤波",image1); 23 long endtime1 = GetTickCount(); 24 cout << "均值滤波时间：" << (endtime1 - starttime1) << endl; 25 26 Mat image2; 27 long starttime2 = GetTickCount(); 28 boxFilter(sourceimage,image2,-1,Size(5,5)); // 参数 -1 代表采用原图深度 29 namedWindow("方框滤波",WINDOW_NORMAL); 30 imshow("方框滤波",image2); 31 long endtime2 = GetTickCount(); 32 cout << "方框滤波时间：" << (endtime2 - starttime2) << endl; 33 34 // 非线性滤波： 高斯滤波 双边滤波 中值滤波 35 36 Mat image3; 37 long starttime3 = GetTickCount(); 38 GaussianBlur(sourceimage,image3,Size(3,3),0,0); // 0，0 为参数 sigx 和 sigy 的值 39 namedWindow("高斯滤波",WINDOW_NORMAL); 40 imshow("高斯滤波",image3); 41 long endtime3 = GetTickCount(); 42 cout << "高斯滤波时间：" << (endtime3 - starttime3) << endl; 43 44 Mat image4; 45 long starttime4 = GetTickCount(); 46 bilateralFilter(sourceimage,image4,25,25*2,35/2); 47 namedWindow("双边滤波",WINDOW_NORMAL); 48 imshow("双边滤波",image4); 49 long endtime4 = GetTickCount(); 50 cout << "双边滤波时间：" << (endtime4 - starttime4) << endl; 51 52 Mat image5; 53 long starttime5 = GetTickCount(); 54 medianBlur(sourceimage,image5,5); 55 namedWindow("中值滤波",WINDOW_NORMAL); 56 imshow("中值滤波",image5); 57 long endtime5 = GetTickCount(); 58 cout << "中值滤波时间：" << (endtime5 - starttime5) << endl; 59 60 waitKey(0); 61 return 0; 62 63 }
自定义滤波模板：
1 void main() 2 { 3 Mat srcImage =imread("01.jpg"); 4 5 // 基于拉普拉斯算子的图像锐化 6 // 拉普拉斯滤波核 3*3 7 // 0 -1 0 8 //-1 5 -1 9 // 0 -1 0 10 Mat kernel = (Mat_<float>(3,3) << 0, -1, 0, -1, 5, -1, 0, -1, 0); 11 Mat sharpen_laplace; 12 filter2D(srcImage, sharpen_laplace, srcImage.depth(), kernel); 13 14 imshow("show", sharpen_laplace); 15 16 waitKey(0); 17 }
