opencv 图像对比度亮度调整

#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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转载自www.cnblogs.com/hehe2014/p/10463261.html