图像线性滤波的综合 滑动条控制三种线性滤波的核参数值

 1 #include<opencv2/opencv.hpp>
 2 #include<iostream>
 3 
 4 using namespace cv;
 5 using namespace std;
 6 
 7 Mat src;  // 原图像声明
 8 Mat dst1_image, dst2_image, dst3_image;  //三种滤波函数的目标图像声明
 9 
10 int BoxFilterValue = 3;// 方框滤波参数值
11 int MeanFilterValue = 3; //均值滤波参数值
12 int GaussianFilterValue = 3;//高斯滤波参数值
13 
14 //轨迹条的回调函数
15 static void BoxFilter(int, void *);
16 static void MeanFilter(int, void *);
17 static void GaussianFilter(int, void *);
18 
19 int main()
20 {   
21     system("color5E");
22      src = imread("D:/meinv.jpg");
23     cvNamedWindow("原图像", CV_WINDOW_AUTOSIZE);
24     
25     imshow("原图像", src);
26 
27     //复制原图到三个目标图像中
28     dst1_image = src.clone();    
29     dst2_image = src.clone();
30     dst3_image = src.clone();
31      
32     //方框滤波
33     namedWindow("方框滤波", 1);
34     //创建轨迹条
35     createTrackbar("内核值：", "方框滤波",&BoxFilterValue,40, BoxFilter);
36     BoxFilter(BoxFilterValue, 0);
37 
38     //均值滤波
39     namedWindow("均值滤波", 1);
40     createTrackbar("内核值：", "均值滤波", &MeanFilterValue, 40, MeanFilter);
41     MeanFilter(MeanFilterValue, 0);
42 
43     //高斯滤波
44     namedWindow("高斯滤波", 1);
45     createTrackbar("内核值：", "高斯滤波", &GaussianFilterValue, 40, GaussianFilter);
46     GaussianFilter(GaussianFilterValue, 0);
47     
48     waitKey(0);
49     return 0;
50 }
51 
52 static void BoxFilter(int, void *)
53 {
54     
55     boxFilter(src, dst1_image, -1, Size(BoxFilterValue + 1, BoxFilterValue + 1));
56     imshow("方框滤波", dst1_image);
57 }
58 
59 static void MeanFilter(int, void *)
60 {
61     blur(src, dst2_image,Size(MeanFilterValue + 1, MeanFilterValue + 1),Point(-1,-1));
62     imshow("均值滤波", dst2_image);
63 }
64 
65 static void GaussianFilter(int, void *)
66 {
67     GaussianBlur(src, dst3_image, Size(GaussianFilterValue*2 + 1, GaussianFilterValue*2 + 1), 0,0);
68     imshow("高斯滤波", dst3_image);
69     imwrite("D:/learn-opencv/gaussian.jpg", dst3_image);
70 }