opencv_6_滚动条操作显示_m = scalar(lightness, lightness, lightness); add(s-优快云博客

本文链接：https://blog.youkuaiyun.com/EveryDayOneHour/article/details/138082706

文章介绍了如何在C++中使用OpenCV库实现图像的亮度调整和对比度跟踪功能，通过`on_track`和`on_constrast`回调函数动态改变图像处理效果。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

Mat src,dst, m;
int lightness = 0;
static void on_track(int, void*)
{
m = Scalar(lightness, lightness, lightness);
add(src, m, dst);

// subtract(src, m, dst);
imshow("亮度调整", dst);
}
void ColorInvert::tracking(Mat& image)
{
namedWindow("亮度调整", WINDOW_AUTOSIZE);
dst = Mat::zeros(image.size(), image.type());
m = Mat::zeros(image.size(), image.type());
src = image;
int max_value = 100;
createTrackbar("Value Bar:", "亮度调整", &lightness, max_value, on_track);
on_track(50, 0);
}

eg2:

static void on_constrast(int b, void * userdata)
{
Mat image = *((Mat*)userdata);
Mat dst = Mat::zeros(image.size(), image.type());
Mat m = Mat::zeros(image.size(), image.type());
double constrast = b / 100.0;
addWeighted(image, constrast, m, 0.0, 0, dst);
imshow("亮度与对比度调整", dst);
}

void ColorInvert::tracking_bar(Mat& image)
{
namedWindow("亮度与对比度调整", WINDOW_AUTOSIZE);
int lightness = 50;
int max_value = 100;
int contrast_value = 100;
createTrackbar("Value Bar:", "亮度与对比度调整", &lightness, max_value, on_lightness,(void*)(&image));
createTrackbar("Value Bar:", "亮度与对比度调整", &contrast_value, 200, on_constrast, (void*)(&image));
on_lightness(50, &image);

}