#include "stdafx.h"
#include <opencv2\opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
void on_ContrastAndBright(int, void*);
void showHelpText();
int g_nContrastValue;
int g_nBrightValue;
Mat g_srcImage,g_dstImage;
int main()
{
g_srcImage = imread("1.jpg");
if (!g_srcImage.data) { printf("读取图片错误,请确定目录下是否有imread函数指定图片存在!");
return false; }
g_dstImage = Mat::zeros(g_srcImage.size(), g_srcImage.type());
g_nContrastValue = 80;
int m = g_srcImage.channels();
g_nBrightValue = 80;
namedWindow("效果图窗口", 1);
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);
on_ContrastAndBright(g_nContrastValue, 0);
on_ContrastAndBright(g_nBrightValue, 0);
while(char(waitKey(1))!='q'){}
return 0;
}
void on_ContrastAndBright(int, void*)
{
namedWindow("原始图窗口", 1);
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);
}
}
}
imshow("原始图窗口", g_srcImage);
imshow("效果图窗口",g_dstImage);
}