#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace std;
using namespace cv;
int g_nContrastValue; //对比度值
int g_nBrightValue; //亮度值
Mat g_srcImage,g_dstImage;
static void ContrastAndBright(int, void *)
{
// 创建窗口
namedWindow("【原始图窗口】", 1);
// 三个for循环,执行运算 g_dstImage(i,j) = a*g_srcImage(i,j) + b
for( int y = 0; y < g_srcImage.rows; y++ )
{
for( int x = 0; x < g_srcImage.cols; x++ )
{
for( int c = 0; c < 3; c++ )
{
g_dstImage.at<Vec3b>(y,x)[c] =
saturate_cast<uchar>(
(g_nContrastValue*0.01)*(g_srcImage.at<Vec3b>(y,x)[c]) +
g_nBrightValue);
}
}
}
// 显示图像
imshow("【原始图窗口】", g_srcImage);
imshow("【效果图窗口】", g_dstImage);
}
int main()
{
// 读入用户提供的图像
g_srcImage = imread( "1.jpg");
if( !g_srcImage.data ) { printf("Oh,no,读取g_srcImage图片错误~! \n"); return false; }
g_dstImage = Mat::zeros( g_srcImage.size(), g_srcImage.type());
//设定对比度和亮度的初值
g_nContrastValue=80;
g_nBrightValue=80;
//创建窗口
namedWindow("【效果图窗口】", 1);
//创建轨迹条
createTrackbar("对比度:", "【效果图窗口】", &g_nContrastValue, 300, ContrastAndBright );
createTrackbar("亮 度:", "【效果图窗口】", &g_nBrightValue, 200, ContrastAndBright );
//调用回调函数
ContrastAndBright(g_nContrastValue, 0);
ContrastAndBright(g_nBrightValue, 0);
//输出一些帮助信息
cout<<endl
<<"\t运行成功,请调整滚动条观察图像效果\n\n"
<<"\t按下“q”键时,程序退出\n";
//按下“q”键时,程序退出
while(char(waitKey(1)) != 'q') {}
return 0;
}
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