小视频app源码，CreateTrackbar亮度和对比度调整

小视频app源码，CreateTrackbar亮度和对比度调整实现的相关代码

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int cv::createTrackbar(
const cv::String& trackbarname, 轨迹条名字,
const cv::String&winname, 窗口名字,
int* value,  滑块初始位置,
int count ,滑块达到最大位置的值,
cv::TrackbarCallback onChange = (cv::creatTrackbarCallback)0,默认值为0,指向回调函数
 void* userdata =(void*) 0  默认值为0，用户传给回调函数的数据值
);           
  
  
#include<opencv2/opencv.hpp>
#include<iostream>
using namespace cv;
using namespace std;
  
  
static void on_light(int b, void* usedata) {
Mat image = *((Mat*)usedata);
Mat out = Mat::zeros(image.size(), image.type());
Mat m = Mat::zeros(image.size(), image.type());
m = Scalar(b, b, b);
add(image, m, out);
imshow("亮度和对比度调整", out);
}
  
static void on_contrast(int b, void* usedata) {
Mat image = *((Mat*)usedata);
Mat out = Mat::zeros(image.size(), image.type());
Mat m = Mat::zeros(image.size(), image.type());
m = Scalar(b, b, b);
double alpha = b / 100.0;
addWeighted(image, alpha, m, 0.0, 0.0, out);
imshow("亮度和对比度调整", out);
}
  
int main(int argc, char** argv) {
Mat image = imread("C:/Users/YY/Pictures/Saved Pictures/1.jpg");
int light = 50;
int contrast = 100;
namedWindow("亮度和对比度调整", WINDOW_AUTOSIZE);
createTrackbar("Value", "亮度和对比度调整", &light, 100, on_light,(void*)(&image));
createTrackbar("Contrast", "亮度和对比度调整", &contrast, 200, on_contrast, (void*)(&image));
on_light(50, &image);
waitKey(0);
destroyAllWindows();
return 0;
}

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