opencv 非线性滤波
来源:互联网 发布:java装环境变量的作用 编辑:程序博客网 时间:2024/05/21 00:49
#include<opencv2/opencv.hpp>
#include<opencv2/core/core.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include<iostream>
using namespace cv;
using namespace std;
int g_nMediaBlurValue =3;
int g_nBilateralFilterValue =3;
Mat g_srcImage,g_dstImage1,g_dstImage2;
static void on_MediaBlur(int,void *);
static void on_BilateralFilter(int,void *);
int main()
{
g_srcImage = imread("1.jpg");
if(!g_srcImage.data)
{
printf("%s %d\n",__FUNCTION__,__LINE__);
return -1;
}
g_dstImage1 = g_srcImage.clone();
g_dstImage2 = g_srcImage.clone();
namedWindow("<1.yuantu>",WINDOW_AUTOSIZE);
imshow("<1.yuantu>",g_srcImage);
/*方框滤波*/
namedWindow("<2.MediaBlur>",WINDOW_AUTOSIZE);
createTrackbar("g_nMediaBlurValue","<2.MediaBlur>",&g_nMediaBlurValue,40,on_MediaBlur);
on_MediaBlur(g_nMediaBlurValue,0);
/*均值滤波*/
namedWindow("<3.BilateralFilter>", WINDOW_AUTOSIZE);
createTrackbar("g_nBilateralFilterValue","<3.BilateralFilter>",&g_nBilateralFilterValue,40,on_BilateralFilter);
on_BilateralFilter(g_nBilateralFilterValue,0);
waitKey(0);
}
static void on_MediaBlur(int ,void*)
{
medianBlur(g_srcImage,g_dstImage1,g_nMediaBlurValue*2+1);
imshow("<2.MediaBlur>",g_dstImage1);
}
static void on_BilateralFilter(int,void *)
{
//bilateralFilter(g_srcImage,g_dstImage2,Size(g_nMeanBlurValue+1,g_nMeanBlurValue+1),Point(- 1,- 1));
bilateralFilter(g_srcImage,g_dstImage2,g_nBilateralFilterValue,g_nBilateralFilterValue*2,g_nBilateralFilterValue/2);
imshow("<3.BilateralFilter>",g_dstImage2);
#include<opencv2/core/core.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include<iostream>
using namespace cv;
using namespace std;
int g_nMediaBlurValue =3;
int g_nBilateralFilterValue =3;
Mat g_srcImage,g_dstImage1,g_dstImage2;
static void on_MediaBlur(int,void *);
static void on_BilateralFilter(int,void *);
int main()
{
g_srcImage = imread("1.jpg");
if(!g_srcImage.data)
{
printf("%s %d\n",__FUNCTION__,__LINE__);
return -1;
}
g_dstImage1 = g_srcImage.clone();
g_dstImage2 = g_srcImage.clone();
namedWindow("<1.yuantu>",WINDOW_AUTOSIZE);
imshow("<1.yuantu>",g_srcImage);
/*方框滤波*/
namedWindow("<2.MediaBlur>",WINDOW_AUTOSIZE);
createTrackbar("g_nMediaBlurValue","<2.MediaBlur>",&g_nMediaBlurValue,40,on_MediaBlur);
on_MediaBlur(g_nMediaBlurValue,0);
/*均值滤波*/
namedWindow("<3.BilateralFilter>", WINDOW_AUTOSIZE);
createTrackbar("g_nBilateralFilterValue","<3.BilateralFilter>",&g_nBilateralFilterValue,40,on_BilateralFilter);
on_BilateralFilter(g_nBilateralFilterValue,0);
waitKey(0);
}
static void on_MediaBlur(int ,void*)
{
medianBlur(g_srcImage,g_dstImage1,g_nMediaBlurValue*2+1);
imshow("<2.MediaBlur>",g_dstImage1);
}
static void on_BilateralFilter(int,void *)
{
//bilateralFilter(g_srcImage,g_dstImage2,Size(g_nMeanBlurValue+1,g_nMeanBlurValue+1),Point(- 1,- 1));
bilateralFilter(g_srcImage,g_dstImage2,g_nBilateralFilterValue,g_nBilateralFilterValue*2,g_nBilateralFilterValue/2);
imshow("<3.BilateralFilter>",g_dstImage2);
}
阅读全文
0 0
- opencv 非线性滤波
- Opencv学习之非线性滤波
- opencv:线性和非线性滤波
- Opencv学习:非线性滤波:中值滤波、双边滤波
- OpenCV之九 非线性滤波专场:中值滤波、双边滤波
- opencv笔记 4.线性和非线性滤波
- 非线性滤波
- opencv学习笔记(十八)——图像非线性滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- OpenCV学习笔记(十):非线性滤波:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- 【OpenCV入门教程之九】 非线性滤波专场:中值滤波、双边滤波
- .Net程序员学用Oracle系列
- 【量化小讲堂-Python&Pandas系列08】通过逐笔数据计算主力资金流数据
- async/await
- java中关于泛型的问题
- async/await
- opencv 非线性滤波
- 数据结构实验之二叉树七:叶子问题
- Java 9 的主要新特性
- async/await
- 最近学了栈,和一些心情emmm,11.11
- async/await
- 凯撒密码
- 垃圾回收算法与 JVM 垃圾回收器综述
- async/await