#include <opencv2/opencv.hpp>

#include "opencv2/highgui/highgui.hpp"

using namespace cv;

#define WINDOW_NAME "Slider to achieve brightness adjustment"

const int g_nMaxAlphaValue = 100;//Alpha最大值

int g_nAlphaValueSlider;//滑动条对应的变量

double g_dAlphaValue;

//声明存储图像的变量

Mat g_srcImage1;

Mat g_dstImage;

void on_Trackbar(int, void*)

{

//求出当前alpha值相对于最大值的比例

g_dAlphaValue = (double)g_nAlphaValueSlider / g_nMaxAlphaValue;

g_dstImage = Mat::zeros(g_srcImage1.size(), g_srcImage1.type());

//根据alpha值对图像进行亮度调节

for (int i = 0; i<g_srcImage1.rows; ++i)

for (int j = 0; j<g_srcImage1.cols; ++j)

for (int k = 0; k<3; ++k)

g_dstImage.at<Vec3b>(i, j)[k] = saturate_cast<uchar>(g_srcImage1.at<Vec3b>(i, j)[k] * g_dAlphaValue*2);

//显示效果图

imshow(WINDOW_NAME, g_dstImage);

}

int main(int argc, char** argv)

{

g_srcImage1 = imread("1.jpg");

if (!g_srcImage1.data) { printf("读取图片失败"); return -1; }

//设置滑条初值

g_nAlphaValueSlider = 50;

//创建窗体

namedWindow(WINDOW_NAME, 1);

//在创建的窗体中创建一个滑条

char TrackbarName[50];

sprintf_s(TrackbarName, "Value%d", g_nMaxAlphaValue);

createTrackbar(TrackbarName, WINDOW_NAME, &g_nAlphaValueSlider, g_nMaxAlphaValue, on_Trackbar);

//调用回调函数，进行两图的线性混合

on_Trackbar(g_nAlphaValueSlider, 0);

waitKey(10000);

return 0;

}