OpenCV实现图象翻转、滤波、锐化

OpenCV实现图象翻转、滤波、锐化

注：以下代码，使用opencv库函数实现了对图片的翻转、灰度图转换、各种滤波、各种锐化。

库函数相关参数及说明参阅：OpenCV中文站=》opencv教程（cn）

 #include <iostream>

 #include <stdio.h>

 #include <Windows.h>

 #include <opencv2/highgui/highgui.hpp>

 #include <opencv2/imgproc/imgproc.hpp>

 #include <opencv2/imgproc/types_c.h>

 #include <opencv2/core/core.hpp>

 #include <opencv2/opencv.hpp>

 using namespace std;

 using namespace cv;

 //全局变量

 const int slider_max = ;

 int slider;

 Mat img;

 Mat resImg;

 Mat src, res[];

 //翻转图片

 void turn(string src)

 {

     Mat srcMat = imread(src);

     if (!srcMat.data)

     {

         cout << "源图象获取失败!" << endl;

         return;

     }

     //原始图像

     imshow("原图片", srcMat);

     //水平翻转

     flip(srcMat, res[], );

     imshow("水平翻转", res[]);

     imwrite("D:\\trashBox\\testIMG\\flip1.jpg", res[]);

     //垂直翻转

     flip(srcMat, res[], );

     imshow("垂直翻转", res[]);

     imwrite("D:\\trashBox\\testIMG\\flip0.jpg", res[]);

 }

 //图像平滑处理（滤波）

 void blur(string src)

 {

     Mat srcMat = imread(src);

     if (!srcMat.data)

     {

         cout << "源图象获取失败!" << endl;

         return;

     }

     //源图片

     imshow("源图片", srcMat);

     //中值滤波

     medianBlur(srcMat, res[], );

     imshow("中值滤波", res[]);

     imwrite("D:\\trashBox\\testIMG\\medianBlur.jpg", res[]);

     //均值滤波

     blur(srcMat, res[], Size(, ), Point(-, -));

     imshow("均值滤波", res[]);

     imwrite("D:\\trashBox\\testIMG\\averBlur.jpg", res[]);

     //高斯滤波

     GaussianBlur(srcMat, res[], Size(, ), , );

     imshow("高斯滤波", res[]);

     imwrite("D:\\trashBox\\testIMG\\gsBlur.jpeg", res[]);

 }

 //图象锐化:高通滤波

 void sharpen(string src)

 {

     Mat srcMat = imread(src);

     if (!srcMat.data)

     {

         cout << "源图象获取失败!" << endl;

         return;

     }

     //原图

     imshow("源图片", srcMat);

     //灰度图

     cvtColor(srcMat, res[], CV_BGR2GRAY);

     imshow("灰度图象", res[]);

     imwrite("D:\\trashBox\\testIMG\\grey.jpg", res[]);

     //sobel算子,基于梯度

     Sobel(res[], res[], res[].depth(), , , , , , BORDER_DEFAULT);

     imshow("X水平Sobel", res[]);

     imwrite("D:\\trashBox\\testIMG\\sobelX.jpg", res[]);

     Sobel(res[], res[], res[].depth(), , , , , , BORDER_DEFAULT);

     imshow("Y方向Sobel", res[]);

     imwrite("D:\\trashBox\\testIMG\\sobelY.jpg", res[]);

     //sobel叠加

     convertScaleAbs(res[], res[]);

     convertScaleAbs(res[], res[]);

     addWeighted(res[], 0.5, res[], 0.5, , res[]);

     imshow("叠加Sobel", res[]);

     imwrite("D:\\trashBox\\testIMG\\sobelXY.jpg", res[]);

     //laplace算子， 基于二阶微分

     Laplacian(res[], res[], res[].depth(), , , , BORDER_DEFAULT);

     convertScaleAbs(res[], res[]);

     imshow("Laplace算子边缘检测", res[]);

     imwrite("D:\\trashBox\\testIMG\\laplace.jpg", res[]);

 }

 //直方图

 void hist(string src)

 {

     Mat srcMat = imread(src);

     if (!srcMat.data)

     {

         cout << "源图象获取失败!" << endl;

         return;

     }

     //直方图均衡化

     cvtColor(srcMat, res[], CV_BGR2GRAY);//转灰度图像

     imshow("灰度图", res[]);

     equalizeHist(res[], res[]);

     imshow("直方图均衡化", res[]);

     imwrite("D:\\trashBox\\equalHist.jpg", res[]);

 }

 //颜色减半

 void colorReduce(Mat& input, Mat& output, int div);

 void on_trackbar(int pos, void *);

 //迭代器实现颜色减半

 void colorReduce(Mat& input, Mat& output, int div)

 {

     output = input.clone();

     Mat_<Vec3b>::iterator it = input.begin<Vec3b>();

     Mat_<Vec3b>::iterator itend = input.end<Vec3b>();

     Mat_<Vec3b> cimage = output;

     Mat_<Vec3b>::iterator itout = cimage.begin();

     Mat_<Vec3b>::iterator itoutend = cimage.end();

     for (; it != itend; it++, itout++)

     {

         for(int i=; i<; i++)

             (*itout)[i] = (*it)[i] / div * div + div / ;//200-249->0-29压缩灰度级，用中间值代替

     }

     //output = cimage;

     //imshow("源图片", input);

     //imshow("颜色减半图片", output);

 }

 //trackBar 回调函数

 void on_trackbar(int pos, void *)

 {

     if (pos <= )

     {

         resImg = img;

     }

     else

     {

         colorReduce(img, resImg, pos);

     }

     imshow("显示结果", resImg);

 }

 int main()

 {
　　　　 //**************此部分代码调用翻转、滤波、锐化函数*******************//

     //string lena = "D:\\trashBox\\testIMG\\lena.bmp";

     //string tiger = "D:\\trashBox\\testIMG\\tiger.jpg";

     //string xian = "D:\\trashBox\\testIMG\\xian.jpg";

     //turn(lena);

     //blur(tiger);

     //blur(lena);

     //sharpen(xian);

     //sharpen(xian);

     //hist(lena);
　　　　 //**************************************************************//

        //********************此部分代码实现图象的颜色减半******************//

     Mat src, res;

     img = imread("D:\\trashBox\\photo.jpg");

     if (!img.data)

     {

         cout << "源图象获取失败!" << endl;

         return ;

     }

     namedWindow("原图像");

     namedWindow("显示结果");

     slider = ;

     createTrackbar("ColorReduce", "显示结果", &slider, slider_max, on_trackbar);

     imshow("原图像", img);

     imshow("显示结果", img);

     waitKey();

 }