#include "stdafx.h"
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\core\core.hpp>
#include <iostream>
using namespace std;
using namespace cv;
//描述:全局函数声明
static void on_ContrastAndBright(int, void *);
static void ShowHelpText();
//描述:全局变量声明
int g_nContrastValue;//对比度
int g_nBrightValue;//亮度值
Mat g_srcImage, g_dstImage;
int main()
{
//【1】读取输入图片
string filepath = "D:\\pic\\";
g_srcImage = imread(filepath + "1.jpg");
if (!g_srcImage.data)
{
printf("读取图片错误");
return false;
}
g_dstImage = Mat::zeros(g_srcImage.size(), g_srcImage.type());
//【2】设定对比度和亮度
g_nContrastValue = 80;
g_nBrightValue = 90;
//【3】创建效果图窗口
namedWindow("【效果图窗口】", 1);
//【4】创建轨迹条
createTrackbar("对比度:", "【效果图窗口】", &g_nContrastValue, 300, on_ContrastAndBright);
createTrackbar("亮 度:", "【效果图窗口】", &g_nBrightValue, 200, on_ContrastAndBright);
//【5】回调函数初始化
on_ContrastAndBright(g_nContrastValue, 0);
on_ContrastAndBright(g_nBrightValue, 0);
//【6】按下"q"键时,退出
while (char(waitKey(1)) != 'q'){}
system("pause");
return 0;
}
static void on_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);
}
参考文献:
[1]. OpenCV3编程入门——毛星云
[2]. https://blog.csdn.net/poem_qianmo/article/details/21479533